Overview

Dataset statistics

Number of variables881
Number of observations2796
Missing cells1900335
Missing cells (%)77.1%
Total size in memory18.8 MiB
Average record size in memory6.9 KiB

Variable types

Categorical28
Numeric853

Alerts

mc_med9 has constant value "0.0" Constant
Elig01 has constant value "1.0" Constant
Elig04 has constant value "1.0" Constant
Elig05 has constant value "1.0" Constant
Elig06 has constant value "1.0" Constant
Elig07 has constant value "1.0" Constant
Elig08 has constant value "1.0" Constant
Elig13 has constant value "1.0" Constant
bclinra06_256 has constant value "0.0" Constant
EDANG26_Bank has constant value "1.0" Constant
EDANX08_Bank has constant value "1.0" Constant
EDANX27_Bank has constant value "1.0" Constant
PFA20_Bank has constant value "5.0" Constant
PFB16_Bank has constant value "5.0" Constant
PFB19_Bank has constant value "5.0" Constant
PFB20_Bank has constant value "5.0" Constant
PFB23_Bank has constant value "5.0" Constant
PFB29_Bank has constant value "5.0" Constant
bl_ra_COPD_medications_comment has a high cardinality: 67 distinct values High cardinality
fclinra07 has a high cardinality: 54 distinct values High cardinality
fclinra67 has a high cardinality: 58 distinct values High cardinality
psqi101 has a high cardinality: 127 distinct values High cardinality
sgrq101 has a high cardinality: 108 distinct values High cardinality
dem05 has 46 (1.6%) missing values Missing
Socio07 has 115 (4.1%) missing values Missing
dem08 has 38 (1.4%) missing values Missing
bl_pt_height has 114 (4.1%) missing values Missing
bl_pt_weight has 70 (2.5%) missing values Missing
bl_pt_high_blood_pressure has 147 (5.3%) missing values Missing
bl_pt_chest_pain_angina has 165 (5.9%) missing values Missing
bl_pt_coronay_artery_disease has 165 (5.9%) missing values Missing
bl_pt_heart_failure_congestive_heart_failure has 165 (5.9%) missing values Missing
bl_pt_heart_attack has 165 (5.9%) missing values Missing
bl_pt_liver_disease_hepatitis_cirrhosis has 165 (5.9%) missing values Missing
bl_pt_kidney_disease has 165 (5.9%) missing values Missing
bl_pt_arthritis_rheuma has 186 (6.7%) missing values Missing
bl_pt_osteoarthritis_degenerative_arthritis has 165 (5.9%) missing values Missing
bl_pt_migraines_headaches has 165 (5.9%) missing values Missing
bl_pt_asthma has 166 (5.9%) missing values Missing
bl_pt_diabetes_high_blood_sugar has 165 (5.9%) missing values Missing
bl_pt_depression has 165 (5.9%) missing values Missing
bl_pt_anxiety has 165 (5.9%) missing values Missing
bl_pt_sleep_disorder has 145 (5.2%) missing values Missing
bl_pt_cancer has 106 (3.8%) missing values Missing
bl_pt_type_of_cancer has 2162 (77.3%) missing values Missing
bl_pt_length_of_COPD has 39 (1.4%) missing values Missing
bl_pt_number_of_exacerbations_last_2_months has 1257 (45.0%) missing values Missing
bl_pt_number_of_hospitalization_due_to_COPD_last_year has 33 (1.2%) missing values Missing
bl_pt_number_of_hospitalization_due_to_COPD_last_2_months has 1685 (60.3%) missing values Missing
bl_pt_emergency_room_visits_due_to_COPD_last_2_months has 1904 (68.1%) missing values Missing
bl_pt_wheezing has 36 (1.3%) missing values Missing
bl_pt_other_symptoms has 43 (1.5%) missing values Missing
bl_pt_medications has 56 (2.0%) missing values Missing
bl_ra_height has 141 (5.0%) missing values Missing
bl_ra_weight has 123 (4.4%) missing values Missing
bl_ra_COPD_medications has 78 (2.8%) missing values Missing
bl_ra_Anthonisen_exacerbation_type has 1751 (62.6%) missing values Missing
bl_ra_COPD_GOLD_stage has 474 (17.0%) missing values Missing
bl_ra_6_minute_walk_score has 1280 (45.8%) missing values Missing
bl_ra_FEV1_2 has 1206 (43.1%) missing values Missing
bl_ra_FVC_2 has 1224 (43.8%) missing values Missing
bl_ra_PEF_2 has 1225 (43.8%) missing values Missing
bl_ra_FEV1_FVC_ratio_2 has 1186 (42.4%) missing values Missing
bl_ra_FEV1_1 has 736 (26.3%) missing values Missing
fclinra02 has 277 (9.9%) missing values Missing
fclinra03 has 2682 (95.9%) missing values Missing
fclinra04 has 399 (14.3%) missing values Missing
fclinra08 has 297 (10.6%) missing values Missing
stofhla02 has 223 (8.0%) missing values Missing
stofhla has 180 (6.4%) missing values Missing
elig09 has 88 (3.1%) missing values Missing
bl_ra_FVC_1 has 743 (26.6%) missing values Missing
bl_ra_PEF_1 has 803 (28.7%) missing values Missing
bl_ra_FEV1_FVC_ratio_1 has 777 (27.8%) missing values Missing
fclinra53 has 1877 (67.1%) missing values Missing
fclinra53b has 1888 (67.5%) missing values Missing
fclinra53c has 1890 (67.6%) missing values Missing
fclinra54 has 1893 (67.7%) missing values Missing
fclinra54b has 1877 (67.1%) missing values Missing
fclinra54c has 1896 (67.8%) missing values Missing
fclinra55 has 1898 (67.9%) missing values Missing
fclinra55b has 1902 (68.0%) missing values Missing
fclinra55c has 1904 (68.1%) missing values Missing
fclinra56 has 1898 (67.9%) missing values Missing
fclinra56b has 1877 (67.1%) missing values Missing
white has 46 (1.6%) missing values Missing
chart_bmi has 141 (5.0%) missing values Missing
sr_ft has 121 (4.3%) missing values Missing
sr_in has 121 (4.3%) missing values Missing
sr_ht has 121 (4.3%) missing values Missing
sr_bmi has 140 (5.0%) missing values Missing
sr_ht_cm has 121 (4.3%) missing values Missing
bclinpt02_kg has 70 (2.5%) missing values Missing
weight_diff has 148 (5.3%) missing values Missing
height_diff has 218 (7.8%) missing values Missing
sr_med14 has 56 (2.0%) missing values Missing
sr_med13 has 56 (2.0%) missing values Missing
sr_med12 has 56 (2.0%) missing values Missing
sr_med11 has 56 (2.0%) missing values Missing
sr_med10 has 56 (2.0%) missing values Missing
sr_med9 has 56 (2.0%) missing values Missing
sr_med8 has 56 (2.0%) missing values Missing
sr_med7 has 56 (2.0%) missing values Missing
sr_med6 has 56 (2.0%) missing values Missing
sr_med5 has 56 (2.0%) missing values Missing
sr_med4 has 56 (2.0%) missing values Missing
sr_med3 has 56 (2.0%) missing values Missing
sr_med2 has 56 (2.0%) missing values Missing
sr_med1 has 56 (2.0%) missing values Missing
mc_med14 has 78 (2.8%) missing values Missing
mc_med10 has 78 (2.8%) missing values Missing
mc_med9 has 78 (2.8%) missing values Missing
mc_med8 has 78 (2.8%) missing values Missing
mc_med7 has 78 (2.8%) missing values Missing
mc_med6 has 78 (2.8%) missing values Missing
mc_med5 has 78 (2.8%) missing values Missing
mc_med4 has 78 (2.8%) missing values Missing
mc_med3 has 78 (2.8%) missing values Missing
mc_med2 has 78 (2.8%) missing values Missing
mc_med1 has 78 (2.8%) missing values Missing
sr_dc has 56 (2.0%) missing values Missing
sr_ab has 56 (2.0%) missing values Missing
sr_ba has 56 (2.0%) missing values Missing
sr_is has 56 (2.0%) missing values Missing
sr_ss has 56 (2.0%) missing values Missing
sr_ac has 56 (2.0%) missing values Missing
mc_dc has 78 (2.8%) missing values Missing
mc_ab has 78 (2.8%) missing values Missing
mc_ba has 60 (2.1%) missing values Missing
mc_is has 60 (2.1%) missing values Missing
mc_ss has 78 (2.8%) missing values Missing
mc_ac has 78 (2.8%) missing values Missing
Elig01 has 2611 (93.4%) missing values Missing
Elig02 has 2627 (94.0%) missing values Missing
Elig03 has 2664 (95.3%) missing values Missing
Elig04 has 2611 (93.4%) missing values Missing
Elig05 has 2611 (93.4%) missing values Missing
Elig06 has 2611 (93.4%) missing values Missing
Elig07 has 2612 (93.4%) missing values Missing
Elig08 has 2612 (93.4%) missing values Missing
Elig10 has 2611 (93.4%) missing values Missing
Elig11 has 2611 (93.4%) missing values Missing
Elig12 has 2611 (93.4%) missing values Missing
Elig13 has 2611 (93.4%) missing values Missing
bl_pt_health_conditions_beside_COPD has 2610 (93.3%) missing values Missing
bl_pt_stroke_transient_ischemic_attack has 2620 (93.7%) missing values Missing
bl_pt_shortness_of_breath_duration has 2681 (95.9%) missing values Missing
bl_pt_worse_cough_days has 2704 (96.7%) missing values Missing
bl_pt_increase_in_sputum_or_mucus_duration has 2693 (96.3%) missing values Missing
bl_pt_fever_duration has 2769 (99.0%) missing values Missing
bl_pt_breathing_faster_duration has 2709 (96.9%) missing values Missing
bl_pt_wheezing_duration has 2676 (95.7%) missing values Missing
bl_pt_other_symptoms_duration has 2750 (98.4%) missing values Missing
bclinpt43_8192 has 2467 (88.2%) missing values Missing
bclinpt43_4096 has 2467 (88.2%) missing values Missing
bclinpt43_2048 has 2467 (88.2%) missing values Missing
bclinpt43_1024 has 2467 (88.2%) missing values Missing
bclinpt43_512 has 2467 (88.2%) missing values Missing
bclinpt43_256 has 2467 (88.2%) missing values Missing
bclinpt43_128 has 2467 (88.2%) missing values Missing
bclinpt43_64 has 2467 (88.2%) missing values Missing
bclinpt43_32 has 2467 (88.2%) missing values Missing
bclinpt43_16 has 2467 (88.2%) missing values Missing
bclinpt43_8 has 2467 (88.2%) missing values Missing
bclinpt43_4 has 2467 (88.2%) missing values Missing
bclinpt43_2 has 2467 (88.2%) missing values Missing
bclinpt43_1 has 2467 (88.2%) missing values Missing
bl_ra_height_date has 2624 (93.8%) missing values Missing
bl_ra_weight_date has 2623 (93.8%) missing values Missing
bl_ra_COPD_type has 2613 (93.5%) missing values Missing
bl_ra_spirometry_date has 2667 (95.4%) missing values Missing
bclinra06_1024 has 2615 (93.5%) missing values Missing
bclinra06_512 has 2615 (93.5%) missing values Missing
bclinra06_256 has 2615 (93.5%) missing values Missing
bclinra06_128 has 2615 (93.5%) missing values Missing
bclinra06_64 has 2615 (93.5%) missing values Missing
bclinra06_32 has 2615 (93.5%) missing values Missing
bclinra06_16 has 2615 (93.5%) missing values Missing
bclinra06_8 has 2615 (93.5%) missing values Missing
bclinra06_4 has 2615 (93.5%) missing values Missing
bclinra06_2 has 2615 (93.5%) missing values Missing
bclinra06_1 has 2615 (93.5%) missing values Missing
bl_ra_COPD_state_clinician has 2610 (93.3%) missing values Missing
bl_ra_sustained_exacerbation_and_medication has 2710 (96.9%) missing values Missing
bl_ra_hospitalization_required has 2710 (96.9%) missing values Missing
bl_ra_spirometry_date_2 has 2707 (96.8%) missing values Missing
bl_ra_6_minute_walk_score_date has 2714 (97.1%) missing values Missing
bl_ra_date_enrolled has 2611 (93.4%) missing values Missing
fl_pt_hospitalizations_due_to_COPD_past_3_months has 2647 (94.7%) missing values Missing
fl_pt_emergency_room_visits_due_to_COPD_past_3_months has 2648 (94.7%) missing values Missing
fclinpt05 has 2647 (94.7%) missing values Missing
fclinra01 has 2647 (94.7%) missing values Missing
fclinra09 has 2766 (98.9%) missing values Missing
fclinra12 has 2771 (99.1%) missing values Missing
fclinra15 has 2775 (99.2%) missing values Missing
GeneralHealth has 2461 (88.0%) missing values Missing
Global02 has 2464 (88.1%) missing values Missing
Global03 has 2465 (88.2%) missing values Missing
Global04 has 2465 (88.2%) missing values Missing
Global05 has 2466 (88.2%) missing values Missing
Global06 has 2463 (88.1%) missing values Missing
Global07 has 2462 (88.1%) missing values Missing
Global08 has 2461 (88.0%) missing values Missing
Global09 has 2462 (88.1%) missing values Missing
Global10 has 2460 (88.0%) missing values Missing
PROMISAngerBankv1_SE has 2476 (88.6%) missing values Missing
PROMISAngerBankv1_Theta has 2476 (88.6%) missing values Missing
PROMISAnxietyBankv1_SE has 1312 (46.9%) missing values Missing
PROMISAnxietyBankv1_Theta has 1312 (46.9%) missing values Missing
PROMISDepressionBankv1_SE has 2133 (76.3%) missing values Missing
PROMISDepressionBankv1_Theta has 2133 (76.3%) missing values Missing
PROMISFatigueBankv1_SE has 1302 (46.6%) missing values Missing
PROMISFatigueBankv1_Theta has 1302 (46.6%) missing values Missing
PROMISPainBehaviorBankv1_SE has 2477 (88.6%) missing values Missing
PROMISPainBehaviorBankv1_Theta has 2477 (88.6%) missing values Missing
PROMISPainImpactBankv1_SE has 2477 (88.6%) missing values Missing
PROMISPainImpactBankv1_Theta has 2477 (88.6%) missing values Missing
PROMISPhyFunctionBankv1_SE has 1297 (46.4%) missing values Missing
PROMISPhyFunctionBankv1_Theta has 1297 (46.4%) missing values Missing
PROMISSocialSatDSABankv1_SE has 2109 (75.4%) missing values Missing
PROMISSocialSatDSABankv1_Theta has 2109 (75.4%) missing values Missing
PROMISSocialSatSRBankv1_SE has 2109 (75.4%) missing values Missing
PROMISSocialSatSRBankv1_Theta has 2109 (75.4%) missing values Missing
An1_Bank has 2782 (99.5%) missing values Missing
An2_Bank has 2730 (97.6%) missing values Missing
An3_Bank has 1478 (52.9%) missing values Missing
An4_Bank has 2782 (99.5%) missing values Missing
An5_Bank has 2750 (98.4%) missing values Missing
An7_Bank has 2782 (99.5%) missing values Missing
An8_Bank has 2782 (99.5%) missing values Missing
An12_Bank has 2781 (99.5%) missing values Missing
An14_Bank has 2782 (99.5%) missing values Missing
An15_Bank has 2779 (99.4%) missing values Missing
An16_Bank has 2782 (99.5%) missing values Missing
EDANG01_Bank has 2734 (97.8%) missing values Missing
EDANG03_Bank has 2628 (94.0%) missing values Missing
EDANG03_SF has 2621 (93.7%) missing values Missing
EDANG04_Bank has 2782 (99.5%) missing values Missing
EDANG05_Bank has 2736 (97.9%) missing values Missing
EDANG06_Bank has 2588 (92.6%) missing values Missing
EDANG06_SF has 2660 (95.1%) missing values Missing
EDANG07_Bank has 2782 (99.5%) missing values Missing
EDANG09_Bank has 2489 (89.0%) missing values Missing
EDANG09_SF has 2758 (98.6%) missing values Missing
EDANG10_Bank has 2773 (99.2%) missing values Missing
EDANG11_Bank has 2780 (99.4%) missing values Missing
EDANG15_Bank has 2594 (92.8%) missing values Missing
EDANG15_SF has 2652 (94.8%) missing values Missing
EDANG16_Bank has 2773 (99.2%) missing values Missing
EDANG17_Bank has 2781 (99.5%) missing values Missing
EDANG18_Bank has 2782 (99.5%) missing values Missing
EDANG21_Bank has 2761 (98.7%) missing values Missing
EDANG22_Bank has 2782 (99.5%) missing values Missing
EDANG25_Bank has 2625 (93.9%) missing values Missing
EDANG25_SF has 2623 (93.8%) missing values Missing
EDANG26_Bank has 2782 (99.5%) missing values Missing
EDANG28_Bank has 2604 (93.1%) missing values Missing
EDANG28_SF has 2644 (94.6%) missing values Missing
EDANG30_Bank has 2461 (88.0%) missing values Missing
EDANG30_SF has 2784 (99.6%) missing values Missing
EDANG31_Bank has 2687 (96.1%) missing values Missing
EDANG35_Bank has 2597 (92.9%) missing values Missing
EDANG35_SF has 2649 (94.7%) missing values Missing
EDANG37_Bank has 2782 (99.5%) missing values Missing
EDANG42_Bank has 2782 (99.5%) missing values Missing
EDANG45_Bank has 2770 (99.1%) missing values Missing
EDANG47_Bank has 2740 (98.0%) missing values Missing
EDANG48_Bank has 2688 (96.1%) missing values Missing
EDANG54_Bank has 2746 (98.2%) missing values Missing
EDANG55_Bank has 2692 (96.3%) missing values Missing
EDANG56_Bank has 2781 (99.5%) missing values Missing
EDANX01_Bank has 2612 (93.4%) missing values Missing
EDANX01_SF has 1464 (52.4%) missing values Missing
EDANX02_Bank has 2762 (98.8%) missing values Missing
EDANX03_Bank has 2777 (99.3%) missing values Missing
EDANX05_Bank has 2170 (77.6%) missing values Missing
EDANX05_SF has 1911 (68.3%) missing values Missing
EDANX07_Bank has 2216 (79.3%) missing values Missing
EDANX08_Bank has 2780 (99.4%) missing values Missing
EDANX12_Bank has 2475 (88.5%) missing values Missing
EDANX13_Bank has 2779 (99.4%) missing values Missing
EDANX16_Bank has 2687 (96.1%) missing values Missing
EDANX18_Bank has 2776 (99.3%) missing values Missing
EDANX20_Bank has 2779 (99.4%) missing values Missing
EDANX21_Bank has 2573 (92.0%) missing values Missing
EDANX24_Bank has 2779 (99.4%) missing values Missing
EDANX26_Bank has 2682 (95.9%) missing values Missing
EDANX27_Bank has 2780 (99.4%) missing values Missing
EDANX30_Bank has 2413 (86.3%) missing values Missing
EDANX30_SF has 1667 (59.6%) missing values Missing
EDANX33_Bank has 2779 (99.4%) missing values Missing
EDANX37_Bank has 2779 (99.4%) missing values Missing
EDANX40_Bank has 2049 (73.3%) missing values Missing
EDANX40_SF has 2028 (72.5%) missing values Missing
EDANX41_Bank has 2071 (74.1%) missing values Missing
EDANX44_Bank has 2780 (99.4%) missing values Missing
EDANX46_Bank has 2051 (73.4%) missing values Missing
EDANX46_SF has 2028 (72.5%) missing values Missing
EDANX47_Bank has 2567 (91.8%) missing values Missing
EDANX48_Bank has 2474 (88.5%) missing values Missing
EDANX49_Bank has 2582 (92.3%) missing values Missing
EDANX51_Bank has 2523 (90.2%) missing values Missing
EDANX53_Bank has 1294 (46.3%) missing values Missing
EDANX53_SF has 2782 (99.5%) missing values Missing
EDANX54_Bank has 1911 (68.3%) missing values Missing
EDANX54_SF has 2168 (77.5%) missing values Missing
EDANX55_Bank has 2777 (99.3%) missing values Missing
EDDEP04_Bank has 2366 (84.6%) missing values Missing
EDDEP04_SF has 2533 (90.6%) missing values Missing
EDDEP05_Bank has 2779 (99.4%) missing values Missing
EDDEP05_SF has 2123 (75.9%) missing values Missing
EDDEP06_Bank has 2418 (86.5%) missing values Missing
EDDEP06_SF has 2484 (88.8%) missing values Missing
EDDEP07_Bank has 2779 (99.4%) missing values Missing
EDDEP09_Bank has 2778 (99.4%) missing values Missing
EDDEP14_Bank has 2778 (99.4%) missing values Missing
EDDEP17_Bank has 2586 (92.5%) missing values Missing
EDDEP17_SF has 2312 (82.7%) missing values Missing
EDDEP19_Bank has 2780 (99.4%) missing values Missing
EDDEP21_Bank has 2728 (97.6%) missing values Missing
EDDEP22_Bank has 2516 (90.0%) missing values Missing
EDDEP22_SF has 2383 (85.2%) missing values Missing
EDDEP23_Bank has 2691 (96.2%) missing values Missing
EDDEP26_Bank has 2622 (93.8%) missing values Missing
EDDEP27_Bank has 2779 (99.4%) missing values Missing
EDDEP28_Bank has 2687 (96.1%) missing values Missing
EDDEP29_Bank has 2116 (75.7%) missing values Missing
EDDEP29_SF has 2782 (99.5%) missing values Missing
EDDEP30_Bank has 2696 (96.4%) missing values Missing
EDDEP31_Bank has 2554 (91.3%) missing values Missing
EDDEP35_Bank has 2752 (98.4%) missing values Missing
EDDEP36_Bank has 2500 (89.4%) missing values Missing
EDDEP36_SF has 2398 (85.8%) missing values Missing
EDDEP39_Bank has 2778 (99.4%) missing values Missing
EDDEP41_Bank has 2456 (87.8%) missing values Missing
EDDEP41_SF has 2446 (87.5%) missing values Missing
EDDEP42_Bank has 2778 (99.4%) missing values Missing
EDDEP44_Bank has 2778 (99.4%) missing values Missing
EDDEP45_Bank has 2778 (99.4%) missing values Missing
EDDEP46_Bank has 2675 (95.7%) missing values Missing
EDDEP48_Bank has 2779 (99.4%) missing values Missing
EDDEP50_Bank has 2702 (96.6%) missing values Missing
EDDEP54_Bank has 2666 (95.4%) missing values Missing
FATEXP2_Bank has 2781 (99.5%) missing values Missing
FATEXP5_SF has 1292 (46.2%) missing values Missing
FATEXP7_Bank has 2781 (99.5%) missing values Missing
FATEXP5_Bank has 2781 (99.5%) missing values Missing
FATEXP12_Bank has 2781 (99.5%) missing values Missing
FATEXP13_Bank has 2781 (99.5%) missing values Missing
FATEXP16_Bank has 2774 (99.2%) missing values Missing
FATEXP18_Bank has 2781 (99.5%) missing values Missing
FATEXP18_SF has 1293 (46.2%) missing values Missing
FATEXP19_Bank has 2781 (99.5%) missing values Missing
FATEXP20_Bank has 2694 (96.4%) missing values Missing
FATEXP20_SF has 1377 (49.2%) missing values Missing
FATEXP21_Bank has 2744 (98.1%) missing values Missing
FATEXP22_Bank has 2781 (99.5%) missing values Missing
FATEXP24_Bank has 2781 (99.5%) missing values Missing
FATEXP26_Bank has 2781 (99.5%) missing values Missing
FATEXP28_Bank has 2781 (99.5%) missing values Missing
FATEXP29_Bank has 2781 (99.5%) missing values Missing
FATEXP31_Bank has 2753 (98.5%) missing values Missing
FATEXP34_Bank has 2724 (97.4%) missing values Missing
FATEXP35_Bank has 1582 (56.6%) missing values Missing
FATEXP36_Bank has 2782 (99.5%) missing values Missing
FATEXP38_Bank has 2732 (97.7%) missing values Missing
FATEXP40_Bank has 2647 (94.7%) missing values Missing
FATEXP41_Bank has 1851 (66.2%) missing values Missing
FATEXP42_Bank has 2781 (99.5%) missing values Missing
FATEXP43_Bank has 2781 (99.5%) missing values Missing
FATEXP44_Bank has 2774 (99.2%) missing values Missing
FATEXP45_Bank has 2781 (99.5%) missing values Missing
FATEXP46_Bank has 2781 (99.5%) missing values Missing
FATEXP48_Bank has 2781 (99.5%) missing values Missing
FATEXP49_Bank has 2781 (99.5%) missing values Missing
FATEXP50_Bank has 2781 (99.5%) missing values Missing
FATEXP51_Bank has 2782 (99.5%) missing values Missing
FATEXP52_Bank has 2782 (99.5%) missing values Missing
FATEXP54_Bank has 2778 (99.4%) missing values Missing
FATEXP56_Bank has 2704 (96.7%) missing values Missing
FATEXP6_Bank has 2781 (99.5%) missing values Missing
FATIMP1_Bank has 2775 (99.2%) missing values Missing
FATIMP2_Bank has 2779 (99.4%) missing values Missing
FATIMP3_Bank has 1285 (46.0%) missing values Missing
FATIMP4_Bank has 2780 (99.4%) missing values Missing
FATIMP5_Bank has 2780 (99.4%) missing values Missing
FATIMP6_Bank has 2781 (99.5%) missing values Missing
FATIMP8_Bank has 2781 (99.5%) missing values Missing
FATIMP9_Bank has 2781 (99.5%) missing values Missing
FATIMP10_Bank has 2781 (99.5%) missing values Missing
FATIMP11_Bank has 2781 (99.5%) missing values Missing
FATIMP13_Bank has 2781 (99.5%) missing values Missing
FATIMP14_Bank has 2781 (99.5%) missing values Missing
FATIMP15_Bank has 2781 (99.5%) missing values Missing
FATIMP16_Bank has 2781 (99.5%) missing values Missing
FATIMP17_Bank has 2753 (98.5%) missing values Missing
FATIMP18_Bank has 2781 (99.5%) missing values Missing
FATIMP19_Bank has 2781 (99.5%) missing values Missing
FATIMP20_Bank has 2781 (99.5%) missing values Missing
FATIMP21_Bank has 2781 (99.5%) missing values Missing
FATIMP21_SF has 1291 (46.2%) missing values Missing
FATIMP22_Bank has 2782 (99.5%) missing values Missing
FATIMP24_Bank has 2777 (99.3%) missing values Missing
FATIMP25_Bank has 2777 (99.3%) missing values Missing
FATIMP26_Bank has 2781 (99.5%) missing values Missing
FATIMP27_Bank has 2781 (99.5%) missing values Missing
FATIMP28_Bank has 2777 (99.3%) missing values Missing
FATIMP29_Bank has 2781 (99.5%) missing values Missing
FATIMP30_Bank has 2779 (99.4%) missing values Missing
FATIMP30_SF has 1294 (46.3%) missing values Missing
FATIMP33_Bank has 2781 (99.5%) missing values Missing
FATIMP33_SF has 1292 (46.2%) missing values Missing
FATIMP34_Bank has 2781 (99.5%) missing values Missing
FATIMP35_Bank has 2781 (99.5%) missing values Missing
FATIMP36_Bank has 2782 (99.5%) missing values Missing
FATIMP37_Bank has 2781 (99.5%) missing values Missing
FATIMP38_Bank has 2781 (99.5%) missing values Missing
FATIMP40_Bank has 2778 (99.4%) missing values Missing
FATIMP40_SF has 1298 (46.4%) missing values Missing
FATIMP42_Bank has 2781 (99.5%) missing values Missing
FATIMP43_Bank has 2781 (99.5%) missing values Missing
FATIMP44_Bank has 2781 (99.5%) missing values Missing
FATIMP45_Bank has 2781 (99.5%) missing values Missing
FATIMP47_Bank has 2781 (99.5%) missing values Missing
FATIMP48_Bank has 2781 (99.5%) missing values Missing
FATIMP49_Bank has 2757 (98.6%) missing values Missing
FATIMP50_Bank has 2779 (99.4%) missing values Missing
FATIMP51_Bank has 2781 (99.5%) missing values Missing
FATIMP52_Bank has 2781 (99.5%) missing values Missing
FATIMP53_Bank has 2781 (99.5%) missing values Missing
FATIMP55_Bank has 2781 (99.5%) missing values Missing
FATIMP56_Bank has 2781 (99.5%) missing values Missing
HI12_Bank has 2782 (99.5%) missing values Missing
HI7_Bank has 2133 (76.3%) missing values Missing
PAINBE2_Bank has 2696 (96.4%) missing values Missing
PAINBE2_SF has 2546 (91.1%) missing values Missing
PAINBE3_Bank has 2780 (99.4%) missing values Missing
PAINBE3_SF has 2466 (88.2%) missing values Missing
PAINBE6_Bank has 2780 (99.4%) missing values Missing
PAINBE8_Bank has 2462 (88.1%) missing values Missing
PAINBE8_SF has 2781 (99.5%) missing values Missing
PAINBE9_Bank has 2781 (99.5%) missing values Missing
PAINBE11_Bank has 2723 (97.4%) missing values Missing
PAINBE13_Bank has 2723 (97.4%) missing values Missing
PAINBE16_Bank has 2506 (89.6%) missing values Missing
PAINBE17_Bank has 2764 (98.9%) missing values Missing
PAINBE18_Bank has 2781 (99.5%) missing values Missing
PAINBE21_Bank has 2641 (94.5%) missing values Missing
PAINBE22_Bank has 2781 (99.5%) missing values Missing
PAINBE23_Bank has 2781 (99.5%) missing values Missing
PAINBE24_Bank has 2724 (97.4%) missing values Missing
PAINBE24_SF has 2523 (90.2%) missing values Missing
PAINBE25_Bank has 2781 (99.5%) missing values Missing
PAINBE25_SF has 2466 (88.2%) missing values Missing
PAINBE26_Bank has 2655 (95.0%) missing values Missing
PAINBE27_Bank has 2540 (90.8%) missing values Missing
PAINBE28_Bank has 2781 (99.5%) missing values Missing
PAINBE29_Bank has 2781 (99.5%) missing values Missing
PAINBE31_Bank has 2723 (97.4%) missing values Missing
PAINBE32_Bank has 2723 (97.4%) missing values Missing
PAINBE33_Bank has 2701 (96.6%) missing values Missing
PAINBE34_Bank has 2782 (99.5%) missing values Missing
PAINBE35_Bank has 2723 (97.4%) missing values Missing
PAINBE37_Bank has 2720 (97.3%) missing values Missing
PAINBE37_SF has 2527 (90.4%) missing values Missing
PAINBE38_Bank has 2780 (99.4%) missing values Missing
PAINBE39_Bank has 2780 (99.4%) missing values Missing
PAINBE40_Bank has 2781 (99.5%) missing values Missing
PAINBE41_Bank has 2781 (99.5%) missing values Missing
PAINBE42_Bank has 2780 (99.4%) missing values Missing
PAINBE43_Bank has 2781 (99.5%) missing values Missing
PAINBE44_Bank has 2781 (99.5%) missing values Missing
PAINBE45_Bank has 2780 (99.4%) missing values Missing
PAINBE45_SF has 2466 (88.2%) missing values Missing
PAINBE46_Bank has 2726 (97.5%) missing values Missing
PAINBE47_Bank has 2779 (99.4%) missing values Missing
PAINBE48_Bank has 2781 (99.5%) missing values Missing
PAINBE49_Bank has 2780 (99.4%) missing values Missing
PAINBE50_Bank has 2781 (99.5%) missing values Missing
PAINBE51_Bank has 2781 (99.5%) missing values Missing
PAININ1_Bank has 2776 (99.3%) missing values Missing
PAININ3_Bank has 2716 (97.1%) missing values Missing
PAININ3_SF has 2532 (90.6%) missing values Missing
PAININ5_Bank has 2781 (99.5%) missing values Missing
PAININ6_Bank has 2781 (99.5%) missing values Missing
PAININ8_Bank has 2781 (99.5%) missing values Missing
PAININ8_SF has 2469 (88.3%) missing values Missing
PAININ9_Bank has 2462 (88.1%) missing values Missing
PAININ9_SF has 2783 (99.5%) missing values Missing
PAININ10_Bank has 2710 (96.9%) missing values Missing
PAININ10_SF has 2539 (90.8%) missing values Missing
PAININ11_Bank has 2781 (99.5%) missing values Missing
PAININ12_Bank has 2722 (97.4%) missing values Missing
PAININ13_Bank has 2757 (98.6%) missing values Missing
PAININ14_Bank has 2781 (99.5%) missing values Missing
PAININ14_SF has 2468 (88.3%) missing values Missing
PAININ16_Bank has 2781 (99.5%) missing values Missing
PAININ17_Bank has 2771 (99.1%) missing values Missing
PAININ18_Bank has 2782 (99.5%) missing values Missing
PAININ19_Bank has 2733 (97.7%) missing values Missing
PAININ20_Bank has 2731 (97.7%) missing values Missing
PAININ22_Bank has 2502 (89.5%) missing values Missing
PAININ24_Bank has 2718 (97.2%) missing values Missing
PAININ26_Bank has 2749 (98.3%) missing values Missing
PAININ26_SF has 2499 (89.4%) missing values Missing
PAININ29_Bank has 2777 (99.3%) missing values Missing
PAININ31_Bank has 2531 (90.5%) missing values Missing
PAININ32_Bank has 2732 (97.7%) missing values Missing
PAININ34_Bank has 2733 (97.7%) missing values Missing
PAININ35_Bank has 2781 (99.5%) missing values Missing
PAININ36_Bank has 2567 (91.8%) missing values Missing
PAININ37_Bank has 2781 (99.5%) missing values Missing
PAININ38_Bank has 2781 (99.5%) missing values Missing
PAININ39_Bank has 2732 (97.7%) missing values Missing
PAININ40_Bank has 2781 (99.5%) missing values Missing
PAININ42_Bank has 2781 (99.5%) missing values Missing
PAININ46_Bank has 2781 (99.5%) missing values Missing
PAININ47_Bank has 2780 (99.4%) missing values Missing
PAININ48_Bank has 2780 (99.4%) missing values Missing
PAININ49_Bank has 2781 (99.5%) missing values Missing
PAININ50_Bank has 2781 (99.5%) missing values Missing
PAININ51_Bank has 2780 (99.4%) missing values Missing
PAININ52_Bank has 2781 (99.5%) missing values Missing
PAININ53_Bank has 2781 (99.5%) missing values Missing
PAININ54_Bank has 2781 (99.5%) missing values Missing
PAININ55_Bank has 2781 (99.5%) missing values Missing
PAININ56_Bank has 2731 (97.7%) missing values Missing
PFA1_Bank has 2751 (98.4%) missing values Missing
PFA1_SF has 1315 (47.0%) missing values Missing
PFA3_Bank has 2780 (99.4%) missing values Missing
PFA3_SF has 1287 (46.0%) missing values Missing
PFA4_Bank has 2672 (95.6%) missing values Missing
PFA5_SF has 1288 (46.1%) missing values Missing
PFA6_Bank has 2782 (99.5%) missing values Missing
PFA7_Bank has 1991 (71.2%) missing values Missing
PFA8_Bank has 2782 (99.5%) missing values Missing
PFA9_Bank has 2783 (99.5%) missing values Missing
PFA10_Bank has 2782 (99.5%) missing values Missing
PFA11_Bank has 1483 (53.0%) missing values Missing
PFA11_SF has 2579 (92.2%) missing values Missing
PFA12_Bank has 2782 (99.5%) missing values Missing
PFA13_Bank has 2781 (99.5%) missing values Missing
PFA14_Bank has 2782 (99.5%) missing values Missing
PFA15_Bank has 2782 (99.5%) missing values Missing
PFA16_Bank has 2782 (99.5%) missing values Missing
PFA16_SF has 1286 (46.0%) missing values Missing
PFA17_Bank has 2782 (99.5%) missing values Missing
PFA18_Bank has 2782 (99.5%) missing values Missing
PFA19_Bank has 2770 (99.1%) missing values Missing
PFA20_Bank has 2782 (99.5%) missing values Missing
PFA21_Bank has 2782 (99.5%) missing values Missing
PFA22_Bank has 2782 (99.5%) missing values Missing
PFA23_Bank has 2684 (96.0%) missing values Missing
PFA25_Bank has 2782 (99.5%) missing values Missing
PFA28_Bank has 2782 (99.5%) missing values Missing
PFA29_Bank has 2782 (99.5%) missing values Missing
PFA30_Bank has 2777 (99.3%) missing values Missing
PFA31_Bank has 2782 (99.5%) missing values Missing
PFA32_Bank has 2782 (99.5%) missing values Missing
PFA33_Bank has 2781 (99.5%) missing values Missing
PFA34_Bank has 2782 (99.5%) missing values Missing
PFA35_Bank has 2782 (99.5%) missing values Missing
PFA36_Bank has 2782 (99.5%) missing values Missing
PFA37_Bank has 2782 (99.5%) missing values Missing
PFA38_Bank has 2782 (99.5%) missing values Missing
PFA39_Bank has 2777 (99.3%) missing values Missing
PFA40_Bank has 2782 (99.5%) missing values Missing
PFA41_Bank has 2782 (99.5%) missing values Missing
PFA42_Bank has 2384 (85.3%) missing values Missing
PFA43_Bank has 2782 (99.5%) missing values Missing
PFA44_Bank has 2782 (99.5%) missing values Missing
PFA45_Bank has 2782 (99.5%) missing values Missing
PFA47_Bank has 2782 (99.5%) missing values Missing
PFA48_Bank has 2782 (99.5%) missing values Missing
PFA49_Bank has 2782 (99.5%) missing values Missing
PFA5_Bank has 2782 (99.5%) missing values Missing
PFA50_Bank has 2782 (99.5%) missing values Missing
PFA51_Bank has 2782 (99.5%) missing values Missing
PFA52_Bank has 2782 (99.5%) missing values Missing
PFA53_Bank has 2371 (84.8%) missing values Missing
PFA54_Bank has 2782 (99.5%) missing values Missing
PFA55_Bank has 2771 (99.1%) missing values Missing
PFA55_SF has 1296 (46.4%) missing values Missing
PFA56_Bank has 2782 (99.5%) missing values Missing
PFB1_Bank has 2782 (99.5%) missing values Missing
PFB3_Bank has 2782 (99.5%) missing values Missing
PFB5_Bank has 2561 (91.6%) missing values Missing
PFB7_Bank has 2660 (95.1%) missing values Missing
PFB8_Bank has 2782 (99.5%) missing values Missing
PFB9_Bank has 2782 (99.5%) missing values Missing
PFB10_Bank has 2782 (99.5%) missing values Missing
PFB11_Bank has 2782 (99.5%) missing values Missing
PFB12_Bank has 2776 (99.3%) missing values Missing
PFB13_Bank has 2507 (89.7%) missing values Missing
PFB14_Bank has 2782 (99.5%) missing values Missing
PFB15_Bank has 2782 (99.5%) missing values Missing
PFB16_Bank has 2782 (99.5%) missing values Missing
PFB17_Bank has 2782 (99.5%) missing values Missing
PFB18_Bank has 2782 (99.5%) missing values Missing
PFB19_Bank has 2782 (99.5%) missing values Missing
PFB20_Bank has 2782 (99.5%) missing values Missing
PFB21_Bank has 2783 (99.5%) missing values Missing
PFB22_Bank has 2782 (99.5%) missing values Missing
PFB23_Bank has 2782 (99.5%) missing values Missing
PFB24_Bank has 2783 (99.5%) missing values Missing
PFB25_Bank has 2782 (99.5%) missing values Missing
PFB26_Bank has 2782 (99.5%) missing values Missing
PFB26_SF has 1286 (46.0%) missing values Missing
PFB27_Bank has 2782 (99.5%) missing values Missing
PFB28_Bank has 2782 (99.5%) missing values Missing
PFB29_Bank has 2782 (99.5%) missing values Missing
PFB30_Bank has 2782 (99.5%) missing values Missing
PFB31_Bank has 2782 (99.5%) missing values Missing
PFB32_Bank has 2782 (99.5%) missing values Missing
PFB33_Bank has 2782 (99.5%) missing values Missing
PFB34_Bank has 2782 (99.5%) missing values Missing
PFB36_Bank has 2782 (99.5%) missing values Missing
PFB37_Bank has 2782 (99.5%) missing values Missing
PFB39_Bank has 2782 (99.5%) missing values Missing
PFB40_Bank has 2782 (99.5%) missing values Missing
PFB41_Bank has 2782 (99.5%) missing values Missing
PFB42_Bank has 2782 (99.5%) missing values Missing
PFB43_Bank has 2782 (99.5%) missing values Missing
PFB44_Bank has 2782 (99.5%) missing values Missing
PFB48_Bank has 2782 (99.5%) missing values Missing
PFB49_Bank has 2783 (99.5%) missing values Missing
PFB50_Bank has 2782 (99.5%) missing values Missing
PFB51_Bank has 2782 (99.5%) missing values Missing
PFB54_Bank has 2782 (99.5%) missing values Missing
PFB56_Bank has 2782 (99.5%) missing values Missing
PFC6_Bank has 2783 (99.5%) missing values Missing
PFC7_Bank has 2770 (99.1%) missing values Missing
PFC10_Bank has 2783 (99.5%) missing values Missing
PFC12_Bank has 1283 (45.9%) missing values Missing
PFC13_Bank has 2778 (99.4%) missing values Missing
PFC20_Bank has 2783 (99.5%) missing values Missing
PFC29_Bank has 2783 (99.5%) missing values Missing
PFC31_Bank has 2783 (99.5%) missing values Missing
PFC32_Bank has 2783 (99.5%) missing values Missing
PFC33_Bank has 2778 (99.4%) missing values Missing
PFC34_Bank has 2783 (99.5%) missing values Missing
PFC35_Bank has 2782 (99.5%) missing values Missing
PFC36_Bank has 2265 (81.0%) missing values Missing
PFC36_SF has 1801 (64.4%) missing values Missing
PFC37_Bank has 2781 (99.5%) missing values Missing
PFC37_SF has 1288 (46.1%) missing values Missing
PFC38_Bank has 2571 (92.0%) missing values Missing
PFC39_Bank has 2783 (99.5%) missing values Missing
PFC40_Bank has 2783 (99.5%) missing values Missing
PFC41_Bank has 2783 (99.5%) missing values Missing
PFC43_Bank has 2783 (99.5%) missing values Missing
PFC45_Bank has 2783 (99.5%) missing values Missing
PFC45_SF has 1286 (46.0%) missing values Missing
PFC46_Bank has 2780 (99.4%) missing values Missing
PFC47_Bank has 2784 (99.6%) missing values Missing
PFC49_Bank has 2784 (99.6%) missing values Missing
PFC51_Bank has 2784 (99.6%) missing values Missing
PFC52_Bank has 2784 (99.6%) missing values Missing
PFC53_Bank has 2784 (99.6%) missing values Missing
PFC54_Bank has 2784 (99.6%) missing values Missing
PFC56_Bank has 2744 (98.1%) missing values Missing
SRPSAT05_Bank has 2111 (75.5%) missing values Missing
SRPSAT05_SF has 2767 (99.0%) missing values Missing
SRPSAT06_Bank has 2707 (96.8%) missing values Missing
SRPSAT06_SF has 2171 (77.6%) missing values Missing
SRPSAT07_Bank has 2211 (79.1%) missing values Missing
SRPSAT07_SF has 2667 (95.4%) missing values Missing
SRPSAT08_Bank has 2696 (96.4%) missing values Missing
SRPSAT09_Bank has 2681 (95.9%) missing values Missing
SRPSAT10_Bank has 2741 (98.0%) missing values Missing
SRPSAT10_SF has 2141 (76.6%) missing values Missing
SRPSAT19_Bank has 2725 (97.5%) missing values Missing
SRPSAT20_Bank has 2644 (94.6%) missing values Missing
SRPSAT20_SF has 2240 (80.1%) missing values Missing
SRPSAT21_Bank has 2727 (97.5%) missing values Missing
SRPSAT22_Bank has 2720 (97.3%) missing values Missing
SRPSAT23_Bank has 2111 (75.5%) missing values Missing
SRPSAT23_SF has 2769 (99.0%) missing values Missing
SRPSAT24_Bank has 2113 (75.6%) missing values Missing
SRPSAT24_SF has 2766 (98.9%) missing values Missing
SRPSAT25_Bank has 2689 (96.2%) missing values Missing
SRPSAT25_SF has 2193 (78.4%) missing values Missing
SRPSAT33_Bank has 2093 (74.9%) missing values Missing
SRPSAT33_SF has 2784 (99.6%) missing values Missing
SRPSAT34_Bank has 2667 (95.4%) missing values Missing
SRPSAT35_Bank has 2730 (97.6%) missing values Missing
SRPSAT36_Bank has 2667 (95.4%) missing values Missing
SRPSAT37_Bank has 2706 (96.8%) missing values Missing
SRPSAT38_Bank has 2687 (96.1%) missing values Missing
SRPSAT39_Bank has 2716 (97.1%) missing values Missing
SRPSAT39_SF has 2165 (77.4%) missing values Missing
SRPSAT47_Bank has 2203 (78.8%) missing values Missing
SRPSAT48_Bank has 2683 (96.0%) missing values Missing
SRPSAT48_SF has 2198 (78.6%) missing values Missing
SRPSAT49_Bank has 2093 (74.9%) missing values Missing
SRPSAT49_SF has 2785 (99.6%) missing values Missing
SRPSAT50_Bank has 2641 (94.5%) missing values Missing
SRPSAT50_SF has 2240 (80.1%) missing values Missing
SRPSAT51_Bank has 2730 (97.6%) missing values Missing
SRPSAT51_SF has 2151 (76.9%) missing values Missing
SRPSAT52_Bank has 2189 (78.3%) missing values Missing
exact1 has 1577 (56.4%) missing values Missing
exact2 has 1578 (56.4%) missing values Missing
exact3 has 1579 (56.5%) missing values Missing
exact4 has 1579 (56.5%) missing values Missing
exact5 has 1579 (56.5%) missing values Missing
exact6 has 1579 (56.5%) missing values Missing
exact7 has 1579 (56.5%) missing values Missing
exact8 has 1579 (56.5%) missing values Missing
exact9 has 1579 (56.5%) missing values Missing
exact10 has 1580 (56.5%) missing values Missing
exact11 has 1580 (56.5%) missing values Missing
exact12 has 1580 (56.5%) missing values Missing
exact13 has 1580 (56.5%) missing values Missing
exact14 has 1580 (56.5%) missing values Missing
facit_06 has 2469 (88.3%) missing values Missing
facit_10 has 2464 (88.1%) missing values Missing
facit_15 has 2468 (88.3%) missing values Missing
facit_19 has 2464 (88.1%) missing values Missing
facit_20 has 2466 (88.2%) missing values Missing
facit_21 has 2465 (88.2%) missing values Missing
facit_23 has 2463 (88.1%) missing values Missing
facit_26 has 2463 (88.1%) missing values Missing
facit_30 has 2467 (88.2%) missing values Missing
facit_45 has 2463 (88.1%) missing values Missing
facit2_06 has 2467 (88.2%) missing values Missing
facit2_10 has 2507 (89.7%) missing values Missing
facit2_15 has 2589 (92.6%) missing values Missing
facit2_19 has 2506 (89.6%) missing values Missing
facit2_20 has 2512 (89.8%) missing values Missing
facit2_21 has 2547 (91.1%) missing values Missing
facit2_23 has 2522 (90.2%) missing values Missing
facit2_26 has 2529 (90.5%) missing values Missing
facit2_30 has 2528 (90.4%) missing values Missing
facit2_45 has 2629 (94.0%) missing values Missing
facit3_06 has 2784 (99.6%) missing values Missing
facit3_10 has 2748 (98.3%) missing values Missing
facit3_15 has 2663 (95.2%) missing values Missing
facit3_19 has 2750 (98.4%) missing values Missing
facit3_20 has 2744 (98.1%) missing values Missing
facit3_21 has 2704 (96.7%) missing values Missing
facit3_23 has 2734 (97.8%) missing values Missing
facit3_26 has 2725 (97.5%) missing values Missing
facit3_30 has 2725 (97.5%) missing values Missing
facit3_45 has 2622 (93.8%) missing values Missing
GAC1 has 1882 (67.3%) missing values Missing
GAC2 has 1885 (67.4%) missing values Missing
mmrc has 2460 (88.0%) missing values Missing
psqi05 has 2465 (88.2%) missing values Missing
psqi06 has 2469 (88.3%) missing values Missing
psqi07 has 2468 (88.3%) missing values Missing
psqi08 has 2468 (88.3%) missing values Missing
psqi09 has 2467 (88.2%) missing values Missing
psqi10 has 2467 (88.2%) missing values Missing
psqi11 has 2468 (88.3%) missing values Missing
psqi12 has 2470 (88.3%) missing values Missing
psqi13 has 2469 (88.3%) missing values Missing
psqi14 has 2466 (88.2%) missing values Missing
psqi15 has 2472 (88.4%) missing values Missing
psqi16 has 2471 (88.4%) missing values Missing
psqi17 has 2472 (88.4%) missing values Missing
psqi18 has 2470 (88.3%) missing values Missing
sgrq01 has 2466 (88.2%) missing values Missing
sgrq02 has 2463 (88.1%) missing values Missing
sgrq03 has 2464 (88.1%) missing values Missing
sgrq04 has 2464 (88.1%) missing values Missing
sgrq05 has 2470 (88.3%) missing values Missing
sgrq06 has 2463 (88.1%) missing values Missing
sgrq07 has 2573 (92.0%) missing values Missing
sgrq08 has 2465 (88.2%) missing values Missing
sgrq09 has 2471 (88.4%) missing values Missing
sgrq10 has 2466 (88.2%) missing values Missing
sgrq12 has 2470 (88.3%) missing values Missing
sgrq13 has 2470 (88.3%) missing values Missing
sgrq14 has 2468 (88.3%) missing values Missing
sgrq15 has 2466 (88.2%) missing values Missing
sgrq16 has 2467 (88.2%) missing values Missing
sgrq17 has 2465 (88.2%) missing values Missing
sgrq18 has 2469 (88.3%) missing values Missing
sgrq19 has 2462 (88.1%) missing values Missing
sgrq20 has 2466 (88.2%) missing values Missing
sgrq21 has 2463 (88.1%) missing values Missing
sgrq22 has 2464 (88.1%) missing values Missing
sgrq23 has 2465 (88.2%) missing values Missing
sgrq24 has 2465 (88.2%) missing values Missing
sgrq25 has 2467 (88.2%) missing values Missing
sgrq26 has 2464 (88.1%) missing values Missing
sgrq27 has 2465 (88.2%) missing values Missing
sgrq28 has 2465 (88.2%) missing values Missing
sgrq29 has 2465 (88.2%) missing values Missing
sgrq30 has 2467 (88.2%) missing values Missing
sgrq31 has 2467 (88.2%) missing values Missing
sgrq32 has 2467 (88.2%) missing values Missing
sgrq33 has 2465 (88.2%) missing values Missing
sgrq34 has 2463 (88.1%) missing values Missing
sgrq35 has 2474 (88.5%) missing values Missing
sgrq36 has 2476 (88.6%) missing values Missing
sgrq37 has 2474 (88.5%) missing values Missing
sgrq38 has 2476 (88.6%) missing values Missing
sgrq39 has 2465 (88.2%) missing values Missing
sgrq40 has 2467 (88.2%) missing values Missing
sgrq41 has 2468 (88.3%) missing values Missing
sgrq42 has 2467 (88.2%) missing values Missing
sgrq43 has 2464 (88.1%) missing values Missing
sgrq44 has 2464 (88.1%) missing values Missing
sgrq45 has 2463 (88.1%) missing values Missing
sgrq46 has 2466 (88.2%) missing values Missing
sgrq47 has 2470 (88.3%) missing values Missing
sgrq48 has 2465 (88.2%) missing values Missing
sgrq49 has 2465 (88.2%) missing values Missing
sgrq50 has 2470 (88.3%) missing values Missing
sgrq51 has 2465 (88.2%) missing values Missing
sgrq52 has 2465 (88.2%) missing values Missing
sgrq53 has 2466 (88.2%) missing values Missing
toflhadt has 2633 (94.2%) missing values Missing
toflhadt02 has 2636 (94.3%) missing values Missing
Exact_total has 1580 (56.5%) missing values Missing
Breathlessness has 1580 (56.5%) missing values Missing
Coughsputum has 1579 (56.5%) missing values Missing
Chestsymptom has 1579 (56.5%) missing values Missing
dysp_theta has 2526 (90.3%) missing values Missing
dysp_se has 2526 (90.3%) missing values Missing
dysp_tscore has 2526 (90.3%) missing values Missing
fl_theta has 2542 (90.9%) missing values Missing
fl_se has 2542 (90.9%) missing values Missing
fl_tscore has 2542 (90.9%) missing values Missing
sleep7 has 2472 (88.4%) missing values Missing
sleep6 has 2470 (88.3%) missing values Missing
psqidurat has 2470 (88.3%) missing values Missing
psqidistb has 2485 (88.9%) missing values Missing
psqilaten has 2470 (88.3%) missing values Missing
psqidaydys has 2473 (88.4%) missing values Missing
psqihse has 2473 (88.4%) missing values Missing
psqi has 2501 (89.4%) missing values Missing
psqi5 has 2501 (89.4%) missing values Missing
sf_ang8 has 2460 (88.0%) missing values Missing
nvalid_ang has 2460 (88.0%) missing values Missing
sf_anx7 has 1292 (46.2%) missing values Missing
nvalid_anx has 1292 (46.2%) missing values Missing
sf_dep8 has 2115 (75.6%) missing values Missing
nvalid_dep has 2115 (75.6%) missing values Missing
sf_fatig7 has 1285 (46.0%) missing values Missing
nvalid_fatig has 1285 (46.0%) missing values Missing
sf_painbe7 has 2460 (88.0%) missing values Missing
nvalid_painbe has 2460 (88.0%) missing values Missing
sf_painin6 has 2460 (88.0%) missing values Missing
nvalid_painin has 2460 (88.0%) missing values Missing
sf_phy10 has 1279 (45.7%) missing values Missing
nvalid_phy has 1279 (45.7%) missing values Missing
sf_dsa7 has 2093 (74.9%) missing values Missing
nvalid_dsa has 2093 (74.9%) missing values Missing
sf_sr7 has 2092 (74.8%) missing values Missing
nvalid_sr has 2092 (74.8%) missing values Missing
nvalid_ph has 2460 (88.0%) missing values Missing
ph_t has 2460 (88.0%) missing values Missing
nvalid_mh has 2460 (88.0%) missing values Missing
mh_t has 2460 (88.0%) missing values Missing
sgrq_sx_r has 2462 (88.1%) missing values Missing
sgrq_act_r has 2464 (88.1%) missing values Missing
sgrq_imp_r has 2465 (88.2%) missing values Missing
sgrq_tot_r has 2465 (88.2%) missing values Missing
nvalid_phy is highly skewed (γ1 = -21.29222456) Skewed
dem04 has 2739 (98.0%) zeros Zeros
bl_pt_high_blood_pressure has 1084 (38.8%) zeros Zeros
bl_pt_chest_pain_angina has 2191 (78.4%) zeros Zeros
bl_pt_coronay_artery_disease has 2068 (74.0%) zeros Zeros
bl_pt_heart_failure_congestive_heart_failure has 2173 (77.7%) zeros Zeros
bl_pt_heart_attack has 2141 (76.6%) zeros Zeros
bl_pt_liver_disease_hepatitis_cirrhosis has 2414 (86.3%) zeros Zeros
bl_pt_kidney_disease has 2558 (91.5%) zeros Zeros
bl_pt_arthritis_rheuma has 1272 (45.5%) zeros Zeros
bl_pt_osteoarthritis_degenerative_arthritis has 2059 (73.6%) zeros Zeros
bl_pt_migraines_headaches has 2306 (82.5%) zeros Zeros
bl_pt_asthma has 1738 (62.2%) zeros Zeros
bl_pt_diabetes_high_blood_sugar has 1802 (64.4%) zeros Zeros
bl_pt_depression has 1639 (58.6%) zeros Zeros
bl_pt_anxiety has 1687 (60.3%) zeros Zeros
bl_pt_sleep_disorder has 1724 (61.7%) zeros Zeros
bl_pt_cancer has 2056 (73.5%) zeros Zeros
bl_pt_shortness_of_breath has 1135 (40.6%) zeros Zeros
bl_pt_worse_cough has 908 (32.5%) zeros Zeros
bl_pt_increase_in_sputum_or_mucus has 983 (35.2%) zeros Zeros
bl_pt_fever has 351 (12.6%) zeros Zeros
bl_pt_breathing_faster has 920 (32.9%) zeros Zeros
bl_pt_wheezing has 1163 (41.6%) zeros Zeros
bl_pt_other_symptoms has 470 (16.8%) zeros Zeros
bl_ra_6_minute_walk_score has 29 (1.0%) zeros Zeros
white has 690 (24.7%) zeros Zeros
sr_in has 255 (9.1%) zeros Zeros
sr_med14 has 1720 (61.5%) zeros Zeros
sr_med13 has 2116 (75.7%) zeros Zeros
sr_med12 has 2537 (90.7%) zeros Zeros
sr_med11 has 1931 (69.1%) zeros Zeros
sr_med10 has 2700 (96.6%) zeros Zeros
sr_med9 has 2708 (96.9%) zeros Zeros
sr_med8 has 2719 (97.2%) zeros Zeros
sr_med7 has 2467 (88.2%) zeros Zeros
sr_med6 has 2350 (84.0%) zeros Zeros
sr_med5 has 2666 (95.4%) zeros Zeros
sr_med4 has 1564 (55.9%) zeros Zeros
sr_med3 has 1938 (69.3%) zeros Zeros
sr_med2 has 2095 (74.9%) zeros Zeros
sr_med1 has 729 (26.1%) zeros Zeros
mc_med14 has 1401 (50.1%) zeros Zeros
mc_med10 has 2684 (96.0%) zeros Zeros
mc_med9 has 2718 (97.2%) zeros Zeros
mc_med8 has 2678 (95.8%) zeros Zeros
mc_med7 has 2506 (89.6%) zeros Zeros
mc_med6 has 2326 (83.2%) zeros Zeros
mc_med5 has 2649 (94.7%) zeros Zeros
mc_med4 has 1644 (58.8%) zeros Zeros
mc_med3 has 2025 (72.4%) zeros Zeros
mc_med2 has 1938 (69.3%) zeros Zeros
mc_med1 has 588 (21.0%) zeros Zeros
bclinpt22_1 has 1250 (44.7%) zeros Zeros
sr_dc has 2542 (90.9%) zeros Zeros
sr_ab has 2116 (75.7%) zeros Zeros
sr_ba has 173 (6.2%) zeros Zeros
sr_is has 1155 (41.3%) zeros Zeros
sr_ss has 1915 (68.5%) zeros Zeros
sr_ac has 495 (17.7%) zeros Zeros
mc_dc has 2619 (93.7%) zeros Zeros
mc_ab has 2403 (85.9%) zeros Zeros
mc_ba has 124 (4.4%) zeros Zeros
mc_is has 1067 (38.2%) zeros Zeros
mc_ss has 2127 (76.1%) zeros Zeros
mc_ac has 594 (21.2%) zeros Zeros
bl_pt_health_conditions_beside_COPD has 30 (1.1%) zeros Zeros
bl_pt_stroke_transient_ischemic_attack has 157 (5.6%) zeros Zeros
bclinpt43_8192 has 200 (7.2%) zeros Zeros
bclinpt43_4096 has 285 (10.2%) zeros Zeros
bclinpt43_2048 has 313 (11.2%) zeros Zeros
bclinpt43_1024 has 247 (8.8%) zeros Zeros
bclinpt43_512 has 324 (11.6%) zeros Zeros
bclinpt43_256 has 327 (11.7%) zeros Zeros
bclinpt43_128 has 322 (11.5%) zeros Zeros
bclinpt43_64 has 303 (10.8%) zeros Zeros
bclinpt43_32 has 281 (10.1%) zeros Zeros
bclinpt43_16 has 319 (11.4%) zeros Zeros
bclinpt43_8 has 183 (6.5%) zeros Zeros
bclinpt43_4 has 240 (8.6%) zeros Zeros
bclinpt43_2 has 255 (9.1%) zeros Zeros
bclinpt43_1 has 80 (2.9%) zeros Zeros
bclinra06_1024 has 92 (3.3%) zeros Zeros
bclinra06_512 has 179 (6.4%) zeros Zeros
bclinra06_256 has 181 (6.5%) zeros Zeros
bclinra06_128 has 177 (6.3%) zeros Zeros
bclinra06_64 has 167 (6.0%) zeros Zeros
bclinra06_32 has 157 (5.6%) zeros Zeros
bclinra06_16 has 177 (6.3%) zeros Zeros
bclinra06_8 has 114 (4.1%) zeros Zeros
bclinra06_4 has 137 (4.9%) zeros Zeros
bclinra06_2 has 132 (4.7%) zeros Zeros
bclinra06_1 has 39 (1.4%) zeros Zeros
Global07 has 77 (2.8%) zeros Zeros
facit_06 has 109 (3.9%) zeros Zeros
facit_10 has 73 (2.6%) zeros Zeros
facit_19 has 130 (4.6%) zeros Zeros
facit_20 has 144 (5.2%) zeros Zeros
facit_21 has 60 (2.1%) zeros Zeros
facit_23 has 78 (2.8%) zeros Zeros
facit_26 has 56 (2.0%) zeros Zeros
facit_30 has 58 (2.1%) zeros Zeros
facit2_06 has 176 (6.3%) zeros Zeros
facit2_10 has 91 (3.3%) zeros Zeros
facit2_19 has 151 (5.4%) zeros Zeros
facit2_20 has 146 (5.2%) zeros Zeros
facit2_21 has 63 (2.3%) zeros Zeros
facit2_23 has 84 (3.0%) zeros Zeros
facit2_26 has 72 (2.6%) zeros Zeros
facit2_30 has 64 (2.3%) zeros Zeros
facit3_10 has 28 (1.0%) zeros Zeros
facit3_15 has 69 (2.5%) zeros Zeros
facit3_21 has 39 (1.4%) zeros Zeros
facit3_26 has 33 (1.2%) zeros Zeros
facit3_30 has 33 (1.2%) zeros Zeros
facit3_45 has 100 (3.6%) zeros Zeros
GAC1 has 459 (16.4%) zeros Zeros
GAC2 has 465 (16.6%) zeros Zeros
psqi05 has 128 (4.6%) zeros Zeros
psqi06 has 33 (1.2%) zeros Zeros
psqi08 has 102 (3.6%) zeros Zeros
psqi09 has 105 (3.8%) zeros Zeros
psqi10 has 154 (5.5%) zeros Zeros
psqi11 has 104 (3.7%) zeros Zeros
psqi12 has 214 (7.7%) zeros Zeros
psqi13 has 97 (3.5%) zeros Zeros
psqi14 has 142 (5.1%) zeros Zeros
psqi15 has 223 (8.0%) zeros Zeros
psqi16 has 263 (9.4%) zeros Zeros
psqi17 has 113 (4.0%) zeros Zeros
psqi18 has 66 (2.4%) zeros Zeros
Exact_total has 35 (1.3%) zeros Zeros
Breathlessness has 142 (5.1%) zeros Zeros
Coughsputum has 149 (5.3%) zeros Zeros
Chestsymptom has 339 (12.1%) zeros Zeros
sleep7 has 223 (8.0%) zeros Zeros
sleep6 has 66 (2.4%) zeros Zeros
psqidurat has 171 (6.1%) zeros Zeros
psqilaten has 94 (3.4%) zeros Zeros
psqidaydys has 105 (3.8%) zeros Zeros
psqihse has 171 (6.1%) zeros Zeros
psqi5 has 199 (7.1%) zeros Zeros

Reproduction

Analysis started2022-09-20 20:38:13.038027
Analysis finished2022-09-20 20:38:17.989175
Duration4.95 seconds
Software versionpandas-profiling v3.3.0
Download configurationconfig.json

Variables

dem101
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2789 
puertrican
 
7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2789
99.7%
puertrican7
 
0.3%

Category Frequency Plot

2022-09-20T22:38:18.279485image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

dem02
Real number (ℝ≥0)

Distinct43
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.31759657
Minimum41
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:18.362554image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile50
Q155
median62
Q371
95-th percentile79
Maximum88
Range47
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.566787627
Coefficient of variation (CV)0.1510920841
Kurtosis-0.5763831747
Mean63.31759657
Median Absolute Deviation (MAD)7
Skewness0.2732539313
Sum177036
Variance91.52342549
MonotonicityNot monotonic
2022-09-20T22:38:18.481746image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
55210
 
7.5%
61176
 
6.3%
64137
 
4.9%
74128
 
4.6%
53121
 
4.3%
72118
 
4.2%
51115
 
4.1%
66111
 
4.0%
68106
 
3.8%
6098
 
3.5%
Other values (33)1476
52.8%
ValueCountFrequency (%)
416
 
0.2%
4220
0.7%
4312
0.4%
447
 
0.3%
489
0.3%
ValueCountFrequency (%)
881
 
< 0.1%
861
 
< 0.1%
8576
2.7%
8418
 
0.6%
8317
 
0.6%

dem03
Real number (ℝ≥0)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.44241774
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:18.575222image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4967620582
Coefficient of variation (CV)0.3443954165
Kurtosis-1.947571343
Mean1.44241774
Median Absolute Deviation (MAD)0
Skewness0.2319962966
Sum4033
Variance0.2467725424
MonotonicityNot monotonic
2022-09-20T22:38:18.650326image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11559
55.8%
21237
44.2%
ValueCountFrequency (%)
11559
55.8%
21237
44.2%
ValueCountFrequency (%)
21237
44.2%
11559
55.8%

dem04
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.1%
Missing19
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean0.01368383147
Minimum0
Maximum1
Zeros2739
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:18.727882image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1161957233
Coefficient of variation (CV)8.491461147
Kurtosis68.2177453
Mean0.01368383147
Median Absolute Deviation (MAD)0
Skewness8.376670894
Sum38
Variance0.01350144611
MonotonicityNot monotonic
2022-09-20T22:38:18.800277image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02739
98.0%
138
 
1.4%
(Missing)19
 
0.7%
ValueCountFrequency (%)
02739
98.0%
138
 
1.4%
ValueCountFrequency (%)
138
 
1.4%
02739
98.0%

dem05
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing46
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean1.622181818
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:18.873992image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum32
Range31
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.303021795
Coefficient of variation (CV)1.41970633
Kurtosis81.34537139
Mean1.622181818
Median Absolute Deviation (MAD)0
Skewness7.698767993
Sum4461
Variance5.303909389
MonotonicityNot monotonic
2022-09-20T22:38:18.944220image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
12060
73.7%
2582
 
20.8%
1152
 
1.9%
949
 
1.8%
327
 
0.3%
(Missing)46
 
1.6%
ValueCountFrequency (%)
12060
73.7%
2582
 
20.8%
949
 
1.8%
1152
 
1.9%
327
 
0.3%
ValueCountFrequency (%)
327
 
0.3%
1152
 
1.9%
949
 
1.8%
2582
 
20.8%
12060
73.7%

socio06
Real number (ℝ≥0)

Distinct6
Distinct (%)0.2%
Missing18
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean3.46400288
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:19.019120image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.724330778
Coefficient of variation (CV)0.4977856076
Kurtosis-1.596406408
Mean3.46400288
Median Absolute Deviation (MAD)1
Skewness0.2496456986
Sum9623
Variance2.973316632
MonotonicityNot monotonic
2022-09-20T22:38:19.096402image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
21226
43.8%
5691
24.7%
6454
 
16.2%
1168
 
6.0%
3132
 
4.7%
4107
 
3.8%
(Missing)18
 
0.6%
ValueCountFrequency (%)
1168
 
6.0%
21226
43.8%
3132
 
4.7%
4107
 
3.8%
5691
24.7%
ValueCountFrequency (%)
6454
 
16.2%
5691
24.7%
4107
 
3.8%
3132
 
4.7%
21226
43.8%

Socio07
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.3%
Missing115
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean6.600149198
Minimum2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:19.174329image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q16
median7
Q37
95-th percentile8
Maximum9
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.044773763
Coefficient of variation (CV)0.1582954767
Kurtosis0.7168284288
Mean6.600149198
Median Absolute Deviation (MAD)1
Skewness0.08792056678
Sum17695
Variance1.091552217
MonotonicityNot monotonic
2022-09-20T22:38:19.250551image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7961
34.4%
6954
34.1%
8307
 
11.0%
5296
 
10.6%
9134
 
4.8%
422
 
0.8%
27
 
0.3%
(Missing)115
 
4.1%
ValueCountFrequency (%)
27
 
0.3%
422
 
0.8%
5296
 
10.6%
6954
34.1%
7961
34.4%
ValueCountFrequency (%)
9134
 
4.8%
8307
 
11.0%
7961
34.4%
6954
34.1%
5296
 
10.6%

dem08
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)0.5%
Missing38
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean10.17186367
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:19.335057image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q38
95-th percentile32
Maximum68
Range67
Interquartile range (IQR)4

Descriptive statistics

Standard deviation13.88852109
Coefficient of variation (CV)1.365386083
Kurtosis8.547201809
Mean10.17186367
Median Absolute Deviation (MAD)2
Skewness2.9950033
Sum28054
Variance192.891018
MonotonicityNot monotonic
2022-09-20T22:38:19.415642image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
41133
40.5%
8801
28.6%
2197
 
7.0%
32184
 
6.6%
12137
 
4.9%
6465
 
2.3%
155
 
2.0%
6639
 
1.4%
538
 
1.4%
329
 
1.0%
Other values (5)80
 
2.9%
(Missing)38
 
1.4%
ValueCountFrequency (%)
155
 
2.0%
2197
 
7.0%
329
 
1.0%
41133
40.5%
538
 
1.4%
ValueCountFrequency (%)
6819
 
0.7%
6639
 
1.4%
6465
 
2.3%
32184
6.6%
2411
 
0.4%

bl_pt_height
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)0.7%
Missing114
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean136.6543624
Minimum5
Maximum511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:19.505895image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile51
Q154
median57
Q360
95-th percentile511
Maximum511
Range506
Interquartile range (IQR)6

Descriptive statistics

Standard deviation175.6344418
Coefficient of variation (CV)1.285245774
Kurtosis0.7512700288
Mean136.6543624
Median Absolute Deviation (MAD)3
Skewness1.652573286
Sum366507
Variance30847.45714
MonotonicityNot monotonic
2022-09-20T22:38:19.718168image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
54324
11.6%
510286
10.2%
57273
9.8%
58230
8.2%
53226
8.1%
56215
7.7%
511198
7.1%
59198
7.1%
51140
 
5.0%
60134
 
4.8%
Other values (9)458
16.4%
ValueCountFrequency (%)
556
 
2.0%
617
 
0.6%
487
 
0.3%
5048
 
1.7%
51140
5.0%
ValueCountFrequency (%)
511198
7.1%
510286
10.2%
6334
 
1.2%
6261
 
2.2%
6163
 
2.3%

bl_pt_weight
Real number (ℝ≥0)

MISSING

Distinct112
Distinct (%)4.1%
Missing70
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean195.3099947
Minimum93
Maximum460.7614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:19.822610image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile120
Q1155
median190
Q3223
95-th percentile295
Maximum460.7614
Range367.7614
Interquartile range (IQR)68

Descriptive statistics

Standard deviation58.04453376
Coefficient of variation (CV)0.297191825
Kurtosis1.496412963
Mean195.3099947
Median Absolute Deviation (MAD)35
Skewness1.012294379
Sum532415.0456
Variance3369.1679
MonotonicityNot monotonic
2022-09-20T22:38:19.930524image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
155113
 
4.0%
20081
 
2.9%
16064
 
2.3%
12562
 
2.2%
19062
 
2.2%
13559
 
2.1%
21057
 
2.0%
16356
 
2.0%
20355
 
2.0%
25054
 
1.9%
Other values (102)2063
73.8%
(Missing)70
 
2.5%
ValueCountFrequency (%)
932
 
0.1%
9734
1.2%
1012
 
0.1%
10618
0.6%
10710
 
0.4%
ValueCountFrequency (%)
460.76144
 
0.1%
38519
0.7%
38015
0.5%
37621
0.8%
35613
0.5%

bl_pt_high_blood_pressure
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing147
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean0.590788977
Minimum0
Maximum1
Zeros1084
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:20.034245image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4917811096
Coefficient of variation (CV)0.8324141593
Kurtosis-1.864875256
Mean0.590788977
Median Absolute Deviation (MAD)0
Skewness-0.3695041263
Sum1565
Variance0.2418486598
MonotonicityNot monotonic
2022-09-20T22:38:20.108870image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11565
56.0%
01084
38.8%
(Missing)147
 
5.3%
ValueCountFrequency (%)
01084
38.8%
11565
56.0%
ValueCountFrequency (%)
11565
56.0%
01084
38.8%

bl_pt_chest_pain_angina
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing165
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.1672367921
Minimum0
Maximum1
Zeros2191
Zeros (%)78.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:20.185285image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3732580894
Coefficient of variation (CV)2.231913712
Kurtosis1.184897235
Mean0.1672367921
Median Absolute Deviation (MAD)0
Skewness1.784375827
Sum440
Variance0.1393216013
MonotonicityNot monotonic
2022-09-20T22:38:20.257593image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02191
78.4%
1440
 
15.7%
(Missing)165
 
5.9%
ValueCountFrequency (%)
02191
78.4%
1440
 
15.7%
ValueCountFrequency (%)
1440
 
15.7%
02191
78.4%

bl_pt_coronay_artery_disease
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing165
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.2139870772
Minimum0
Maximum1
Zeros2068
Zeros (%)74.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:20.327843image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4101957594
Coefficient of variation (CV)1.916918371
Kurtosis-0.05239677773
Mean0.2139870772
Median Absolute Deviation (MAD)0
Skewness1.395580034
Sum563
Variance0.168260561
MonotonicityNot monotonic
2022-09-20T22:38:20.402482image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02068
74.0%
1563
 
20.1%
(Missing)165
 
5.9%
ValueCountFrequency (%)
02068
74.0%
1563
 
20.1%
ValueCountFrequency (%)
1563
 
20.1%
02068
74.0%

bl_pt_heart_failure_congestive_heart_failure
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing165
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.1740782972
Minimum0
Maximum1
Zeros2173
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:20.478859image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3792488774
Coefficient of variation (CV)2.178610909
Kurtosis0.9594119567
Mean0.1740782972
Median Absolute Deviation (MAD)0
Skewness1.72008233
Sum458
Variance0.143829711
MonotonicityNot monotonic
2022-09-20T22:38:20.549733image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02173
77.7%
1458
 
16.4%
(Missing)165
 
5.9%
ValueCountFrequency (%)
02173
77.7%
1458
 
16.4%
ValueCountFrequency (%)
1458
 
16.4%
02173
77.7%

bl_pt_heart_attack
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing165
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.186240973
Minimum0
Maximum1
Zeros2141
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:20.620991image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3893750102
Coefficient of variation (CV)2.090705412
Kurtosis0.6016752329
Mean0.186240973
Median Absolute Deviation (MAD)0
Skewness1.612829327
Sum490
Variance0.1516128986
MonotonicityNot monotonic
2022-09-20T22:38:20.695158image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02141
76.6%
1490
 
17.5%
(Missing)165
 
5.9%
ValueCountFrequency (%)
02141
76.6%
1490
 
17.5%
ValueCountFrequency (%)
1490
 
17.5%
02141
76.6%

bl_pt_liver_disease_hepatitis_cirrhosis
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing165
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.08247814519
Minimum0
Maximum1
Zeros2414
Zeros (%)86.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:20.771628image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2751440981
Coefficient of variation (CV)3.335963696
Kurtosis7.230329232
Mean0.08247814519
Median Absolute Deviation (MAD)0
Skewness3.037241108
Sum217
Variance0.07570427471
MonotonicityNot monotonic
2022-09-20T22:38:20.846785image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02414
86.3%
1217
 
7.8%
(Missing)165
 
5.9%
ValueCountFrequency (%)
02414
86.3%
1217
 
7.8%
ValueCountFrequency (%)
1217
 
7.8%
02414
86.3%

bl_pt_kidney_disease
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing165
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.02774610414
Minimum0
Maximum1
Zeros2558
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:20.918701image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1642757285
Coefficient of variation (CV)5.920677284
Kurtosis31.13104397
Mean0.02774610414
Median Absolute Deviation (MAD)0
Skewness5.753901263
Sum73
Variance0.02698651498
MonotonicityNot monotonic
2022-09-20T22:38:20.993187image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02558
91.5%
173
 
2.6%
(Missing)165
 
5.9%
ValueCountFrequency (%)
02558
91.5%
173
 
2.6%
ValueCountFrequency (%)
173
 
2.6%
02558
91.5%

bl_pt_arthritis_rheuma
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing186
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean0.5126436782
Minimum0
Maximum1
Zeros1272
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:21.069135image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4999358942
Coefficient of variation (CV)0.9752112734
Kurtosis-1.998969983
Mean0.5126436782
Median Absolute Deviation (MAD)0
Skewness-0.050619987
Sum1338
Variance0.2499358983
MonotonicityNot monotonic
2022-09-20T22:38:21.141707image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11338
47.9%
01272
45.5%
(Missing)186
 
6.7%
ValueCountFrequency (%)
01272
45.5%
11338
47.9%
ValueCountFrequency (%)
11338
47.9%
01272
45.5%

bl_pt_osteoarthritis_degenerative_arthritis
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing165
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.2174078297
Minimum0
Maximum1
Zeros2059
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:21.370063image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4125607324
Coefficient of variation (CV)1.897635117
Kurtosis-0.1204941229
Mean0.2174078297
Median Absolute Deviation (MAD)0
Skewness1.370984336
Sum572
Variance0.1702063579
MonotonicityNot monotonic
2022-09-20T22:38:21.446420image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02059
73.6%
1572
 
20.5%
(Missing)165
 
5.9%
ValueCountFrequency (%)
02059
73.6%
1572
 
20.5%
ValueCountFrequency (%)
1572
 
20.5%
02059
73.6%

bl_pt_migraines_headaches
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing165
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.123527176
Minimum0
Maximum1
Zeros2306
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:21.523740image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3291039036
Coefficient of variation (CV)2.664222678
Kurtosis3.244764066
Mean0.123527176
Median Absolute Deviation (MAD)0
Skewness2.289606534
Sum325
Variance0.1083093794
MonotonicityNot monotonic
2022-09-20T22:38:21.602542image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02306
82.5%
1325
 
11.6%
(Missing)165
 
5.9%
ValueCountFrequency (%)
02306
82.5%
1325
 
11.6%
ValueCountFrequency (%)
1325
 
11.6%
02306
82.5%

bl_pt_asthma
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing166
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.3391634981
Minimum0
Maximum1
Zeros1738
Zeros (%)62.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:21.676536image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4735154414
Coefficient of variation (CV)1.396127366
Kurtosis-1.538979663
Mean0.3391634981
Median Absolute Deviation (MAD)0
Skewness0.6798464846
Sum892
Variance0.2242168732
MonotonicityNot monotonic
2022-09-20T22:38:21.749639image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01738
62.2%
1892
31.9%
(Missing)166
 
5.9%
ValueCountFrequency (%)
01738
62.2%
1892
31.9%
ValueCountFrequency (%)
1892
31.9%
01738
62.2%

bl_pt_diabetes_high_blood_sugar
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing165
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.3150893197
Minimum0
Maximum1
Zeros1802
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:21.823392image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4646397492
Coefficient of variation (CV)1.474628685
Kurtosis-1.366568382
Mean0.3150893197
Median Absolute Deviation (MAD)0
Skewness0.7965368896
Sum829
Variance0.2158900966
MonotonicityNot monotonic
2022-09-20T22:38:21.896957image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01802
64.4%
1829
29.6%
(Missing)165
 
5.9%
ValueCountFrequency (%)
01802
64.4%
1829
29.6%
ValueCountFrequency (%)
1829
29.6%
01802
64.4%

bl_pt_depression
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing165
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.3770429494
Minimum0
Maximum1
Zeros1639
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:21.971122image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4847379419
Coefficient of variation (CV)1.28563057
Kurtosis-1.743567265
Mean0.3770429494
Median Absolute Deviation (MAD)0
Skewness0.5076994349
Sum992
Variance0.2349708723
MonotonicityNot monotonic
2022-09-20T22:38:22.043792image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01639
58.6%
1992
35.5%
(Missing)165
 
5.9%
ValueCountFrequency (%)
01639
58.6%
1992
35.5%
ValueCountFrequency (%)
1992
35.5%
01639
58.6%

bl_pt_anxiety
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing165
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.3587989358
Minimum0
Maximum1
Zeros1687
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:22.118057image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4797392371
Coefficient of variation (CV)1.337069844
Kurtosis-1.65421291
Mean0.3587989358
Median Absolute Deviation (MAD)0
Skewness0.589105378
Sum944
Variance0.2301497356
MonotonicityNot monotonic
2022-09-20T22:38:22.191123image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01687
60.3%
1944
33.8%
(Missing)165
 
5.9%
ValueCountFrequency (%)
01687
60.3%
1944
33.8%
ValueCountFrequency (%)
1944
33.8%
01687
60.3%

bl_pt_sleep_disorder
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing145
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean0.3496793663
Minimum0
Maximum1
Zeros1724
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:22.266391image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4769586143
Coefficient of variation (CV)1.363988443
Kurtosis-1.603294211
Mean0.3496793663
Median Absolute Deviation (MAD)0
Skewness0.630805783
Sum927
Variance0.2274895198
MonotonicityNot monotonic
2022-09-20T22:38:22.339696image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01724
61.7%
1927
33.2%
(Missing)145
 
5.2%
ValueCountFrequency (%)
01724
61.7%
1927
33.2%
ValueCountFrequency (%)
1927
33.2%
01724
61.7%

bl_pt_cancer
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing106
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean0.2356877323
Minimum0
Maximum1
Zeros2056
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:22.413877image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4245067918
Coefficient of variation (CV)1.801140804
Kurtosis-0.4473334208
Mean0.2356877323
Median Absolute Deviation (MAD)0
Skewness1.246194095
Sum634
Variance0.1802060162
MonotonicityNot monotonic
2022-09-20T22:38:22.488633image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02056
73.5%
1634
 
22.7%
(Missing)106
 
3.8%
ValueCountFrequency (%)
02056
73.5%
1634
 
22.7%
ValueCountFrequency (%)
1634
 
22.7%
02056
73.5%

bl_pt_type_of_cancer
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)2.5%
Missing2162
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean10.10883281
Minimum2
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:22.568245image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15
median11
Q314
95-th percentile19
Maximum19
Range17
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.532539181
Coefficient of variation (CV)0.5472975255
Kurtosis-1.228482828
Mean10.10883281
Median Absolute Deviation (MAD)4
Skewness-0.1599689657
Sum6409
Variance30.60898979
MonotonicityNot monotonic
2022-09-20T22:38:22.645678image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
14117
 
4.2%
2114
 
4.1%
1358
 
2.1%
1157
 
2.0%
1950
 
1.8%
543
 
1.5%
1040
 
1.4%
740
 
1.4%
1622
 
0.8%
1520
 
0.7%
Other values (6)73
 
2.6%
(Missing)2162
77.3%
ValueCountFrequency (%)
2114
4.1%
315
 
0.5%
419
 
0.7%
543
 
1.5%
740
 
1.4%
ValueCountFrequency (%)
1950
1.8%
1814
 
0.5%
1710
 
0.4%
1622
0.8%
1520
 
0.7%

bl_pt_length_of_COPD
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.1%
Missing39
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.150525934
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:22.725977image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.032233009
Coefficient of variation (CV)0.3276383151
Kurtosis-0.8933427476
Mean3.150525934
Median Absolute Deviation (MAD)0
Skewness-0.7396784186
Sum8686
Variance1.065504985
MonotonicityNot monotonic
2022-09-20T22:38:22.797731image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
41487
53.2%
2632
22.6%
3418
 
14.9%
1220
 
7.9%
(Missing)39
 
1.4%
ValueCountFrequency (%)
1220
 
7.9%
2632
22.6%
3418
 
14.9%
41487
53.2%
ValueCountFrequency (%)
41487
53.2%
3418
 
14.9%
2632
22.6%
1220
 
7.9%

bl_pt_number_of_exacerbations_last_year
Real number (ℝ≥0)

Distinct5
Distinct (%)0.2%
Missing7
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.934026533
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:22.878049image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9652983426
Coefficient of variation (CV)0.4991132884
Kurtosis-0.8234961744
Mean1.934026533
Median Absolute Deviation (MAD)1
Skewness0.5247471808
Sum5394
Variance0.9318008903
MonotonicityNot monotonic
2022-09-20T22:38:23.097930image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
11250
44.7%
3823
29.4%
2603
21.6%
496
 
3.4%
517
 
0.6%
(Missing)7
 
0.3%
ValueCountFrequency (%)
11250
44.7%
2603
21.6%
3823
29.4%
496
 
3.4%
517
 
0.6%
ValueCountFrequency (%)
517
 
0.6%
496
 
3.4%
3823
29.4%
2603
21.6%
11250
44.7%

bl_pt_number_of_exacerbations_last_2_months
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.2%
Missing1257
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean1.740740741
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:23.181273image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6734591118
Coefficient of variation (CV)0.3868807664
Kurtosis-0.8182787236
Mean1.740740741
Median Absolute Deviation (MAD)1
Skewness0.3631180218
Sum2679
Variance0.4535471753
MonotonicityNot monotonic
2022-09-20T22:38:23.255531image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2738
26.4%
1600
21.5%
3201
 
7.2%
(Missing)1257
45.0%
ValueCountFrequency (%)
1600
21.5%
2738
26.4%
3201
 
7.2%
ValueCountFrequency (%)
3201
 
7.2%
2738
26.4%
1600
21.5%

bl_pt_number_of_hospitalization_due_to_COPD_last_year
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.1%
Missing33
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean1.575461455
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:23.336108image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7703352963
Coefficient of variation (CV)0.4889585168
Kurtosis-0.7043318692
Mean1.575461455
Median Absolute Deviation (MAD)0
Skewness0.9018861375
Sum4353
Variance0.5934164687
MonotonicityNot monotonic
2022-09-20T22:38:23.407704image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
11653
59.1%
2632
 
22.6%
3476
 
17.0%
42
 
0.1%
(Missing)33
 
1.2%
ValueCountFrequency (%)
11653
59.1%
2632
 
22.6%
3476
 
17.0%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
3476
 
17.0%
2632
 
22.6%
11653
59.1%

bl_pt_number_of_hospitalization_due_to_COPD_last_2_months
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.3%
Missing1685
Missing (%)60.3%
Infinite0
Infinite (%)0.0%
Mean1.796579658
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:23.486133image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5679320816
Coefficient of variation (CV)0.3161185083
Kurtosis-0.2681696413
Mean1.796579658
Median Absolute Deviation (MAD)0
Skewness0.009074139624
Sum1996
Variance0.3225468493
MonotonicityNot monotonic
2022-09-20T22:38:23.561213image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2707
25.3%
1315
 
11.3%
389
 
3.2%
(Missing)1685
60.3%
ValueCountFrequency (%)
1315
11.3%
2707
25.3%
389
 
3.2%
ValueCountFrequency (%)
389
 
3.2%
2707
25.3%
1315
11.3%

bl_pt_emergency_room_visits_due_to_COPD_last_year
Real number (ℝ≥0)

Distinct4
Distinct (%)0.1%
Missing27
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean1.509209101
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:23.641780image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8041652693
Coefficient of variation (CV)0.5328388683
Kurtosis0.1093164449
Mean1.509209101
Median Absolute Deviation (MAD)0
Skewness1.244357827
Sum4179
Variance0.6466817803
MonotonicityNot monotonic
2022-09-20T22:38:23.711995image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
11877
67.1%
3456
 
16.3%
2405
 
14.5%
431
 
1.1%
(Missing)27
 
1.0%
ValueCountFrequency (%)
11877
67.1%
2405
 
14.5%
3456
 
16.3%
431
 
1.1%
ValueCountFrequency (%)
431
 
1.1%
3456
 
16.3%
2405
 
14.5%
11877
67.1%

bl_pt_emergency_room_visits_due_to_COPD_last_2_months
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.3%
Missing1904
Missing (%)68.1%
Infinite0
Infinite (%)0.0%
Mean1.738789238
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:23.791109image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6232836297
Coefficient of variation (CV)0.3584584124
Kurtosis-0.6314257826
Mean1.738789238
Median Absolute Deviation (MAD)0
Skewness0.2515241077
Sum1551
Variance0.388482483
MonotonicityNot monotonic
2022-09-20T22:38:23.866348image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2485
 
17.3%
1320
 
11.4%
387
 
3.1%
(Missing)1904
68.1%
ValueCountFrequency (%)
1320
11.4%
2485
17.3%
387
 
3.1%
ValueCountFrequency (%)
387
 
3.1%
2485
17.3%
1320
11.4%

bl_pt_shortness_of_breath
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.1%
Missing7
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.5930441018
Minimum0
Maximum1
Zeros1135
Zeros (%)40.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:23.946048image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4913546173
Coefficient of variation (CV)0.8285296419
Kurtosis-1.857694228
Mean0.5930441018
Median Absolute Deviation (MAD)0
Skewness-0.3789966294
Sum1654
Variance0.24142936
MonotonicityNot monotonic
2022-09-20T22:38:24.019999image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11654
59.2%
01135
40.6%
(Missing)7
 
0.3%
ValueCountFrequency (%)
01135
40.6%
11654
59.2%
ValueCountFrequency (%)
11654
59.2%
01135
40.6%

bl_pt_worse_cough
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.1%
Missing7
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.6744352815
Minimum0
Maximum1
Zeros908
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:24.095124image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4686694878
Coefficient of variation (CV)0.6949065399
Kurtosis-1.446132867
Mean0.6744352815
Median Absolute Deviation (MAD)0
Skewness-0.7449192398
Sum1881
Variance0.2196510888
MonotonicityNot monotonic
2022-09-20T22:38:24.167528image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11881
67.3%
0908
32.5%
(Missing)7
 
0.3%
ValueCountFrequency (%)
0908
32.5%
11881
67.3%
ValueCountFrequency (%)
11881
67.3%
0908
32.5%

bl_pt_increase_in_sputum_or_mucus
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.1%
Missing21
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean0.6457657658
Minimum0
Maximum1
Zeros983
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:24.240506image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4783668096
Coefficient of variation (CV)0.7407744959
Kurtosis-1.629232739
Mean0.6457657658
Median Absolute Deviation (MAD)0
Skewness-0.6098704802
Sum1792
Variance0.2288348045
MonotonicityNot monotonic
2022-09-20T22:38:24.312577image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11792
64.1%
0983
35.2%
(Missing)21
 
0.8%
ValueCountFrequency (%)
0983
35.2%
11792
64.1%
ValueCountFrequency (%)
11792
64.1%
0983
35.2%

bl_pt_fever
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.1%
Missing21
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean0.8735135135
Minimum0
Maximum1
Zeros351
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:24.386916image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3324567415
Coefficient of variation (CV)0.380597136
Kurtosis3.058454218
Mean0.8735135135
Median Absolute Deviation (MAD)0
Skewness-2.248610781
Sum2424
Variance0.1105274849
MonotonicityNot monotonic
2022-09-20T22:38:24.456040image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
12424
86.7%
0351
 
12.6%
(Missing)21
 
0.8%
ValueCountFrequency (%)
0351
 
12.6%
12424
86.7%
ValueCountFrequency (%)
12424
86.7%
0351
 
12.6%

bl_pt_breathing_faster
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.1%
Missing7
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.670132664
Minimum0
Maximum1
Zeros920
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:24.528231image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4702490453
Coefficient of variation (CV)0.7017253009
Kurtosis-1.476731976
Mean0.670132664
Median Absolute Deviation (MAD)0
Skewness-0.7241046246
Sum1869
Variance0.2211341646
MonotonicityNot monotonic
2022-09-20T22:38:24.606178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11869
66.8%
0920
32.9%
(Missing)7
 
0.3%
ValueCountFrequency (%)
0920
32.9%
11869
66.8%
ValueCountFrequency (%)
11869
66.8%
0920
32.9%

bl_pt_wheezing
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing36
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean0.5786231884
Minimum0
Maximum1
Zeros1163
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:24.820588image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4938691793
Coefficient of variation (CV)0.8535246931
Kurtosis-1.899853613
Mean0.5786231884
Median Absolute Deviation (MAD)0
Skewness-0.3186277109
Sum1597
Variance0.2439067663
MonotonicityNot monotonic
2022-09-20T22:38:24.894243image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11597
57.1%
01163
41.6%
(Missing)36
 
1.3%
ValueCountFrequency (%)
01163
41.6%
11597
57.1%
ValueCountFrequency (%)
11597
57.1%
01163
41.6%

bl_pt_other_symptoms
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing43
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean0.8292771522
Minimum0
Maximum1
Zeros470
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:24.971137image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3763349599
Coefficient of variation (CV)0.4538108386
Kurtosis1.067432614
Mean0.8292771522
Median Absolute Deviation (MAD)0
Skewness-1.751187504
Sum2283
Variance0.141628002
MonotonicityNot monotonic
2022-09-20T22:38:25.040358image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
12283
81.7%
0470
 
16.8%
(Missing)43
 
1.5%
ValueCountFrequency (%)
0470
 
16.8%
12283
81.7%
ValueCountFrequency (%)
12283
81.7%
0470
 
16.8%

bl_pt_medications
Real number (ℝ≥0)

MISSING

Distinct96
Distinct (%)3.5%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean4206.089416
Minimum1
Maximum15369
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:25.133874image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q19
median1060
Q38201
95-th percentile13315
Maximum15369
Range15368
Interquartile range (IQR)8192

Descriptive statistics

Standard deviation4667.559817
Coefficient of variation (CV)1.109714834
Kurtosis-1.054357647
Mean4206.089416
Median Absolute Deviation (MAD)1059
Skewness0.6125569124
Sum11524685
Variance21786114.65
MonotonicityNot monotonic
2022-09-20T22:38:25.243417image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9238
 
8.5%
8164
 
5.9%
1150
 
5.4%
8201116
 
4.1%
774
 
2.6%
819367
 
2.4%
466
 
2.4%
822862
 
2.2%
7362
 
2.2%
4154
 
1.9%
Other values (86)1687
60.3%
(Missing)56
 
2.0%
ValueCountFrequency (%)
1150
5.4%
216
 
0.6%
349
 
1.8%
466
2.4%
554
 
1.9%
ValueCountFrequency (%)
1536916
0.6%
1344912
0.4%
1332920
0.7%
1332517
0.6%
1332415
0.5%

bl_pt_other_antibiotic_comment
Categorical

Distinct23
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2172 
Levaquin
252 
Advair
 
158
levaquin
 
21
mometazone
 
20
Other values (18)
 
173

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2172
77.7%
Levaquin252
 
9.0%
Advair158
 
5.7%
levaquin21
 
0.8%
mometazone20
 
0.7%
macrolide or placebo18
 
0.6%
Simvastatin Ezetimibe AERO18
 
0.6%
through IV unsure of name18
 
0.6%
zithromax18
 
0.6%
V...17
 
0.6%
Other values (13)84
 
3.0%

bl_pt_other_medication_comment
Categorical

Distinct43
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
1505 
Advair
464 
advair
 
77
mometasone
 
63
Advair oxygen
 
58
Other values (38)
629 

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st rowmometasone
2nd rowmometasone
3rd rowmometasone
4th rowmometasone
5th rowmometasone

Common Values

ValueCountFrequency (%)
1505
53.8%
Advair464
 
16.6%
advair77
 
2.8%
mometasone63
 
2.3%
Advair oxygen58
 
2.1%
azmanex42
 
1.5%
mometazone40
 
1.4%
Advair 250/5038
 
1.4%
Advair nebulizer25
 
0.9%
Advair Diskus23
 
0.8%
Other values (33)461
 
16.5%

bl_ra_height
Real number (ℝ≥0)

MISSING

Distinct34
Distinct (%)1.3%
Missing141
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean169.7709981
Minimum147
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:25.357859image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum147
5-th percentile154
Q1163
median170
Q3178
95-th percentile185
Maximum190
Range43
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.5458432
Coefficient of variation (CV)0.05622776155
Kurtosis-0.7458160825
Mean169.7709981
Median Absolute Deviation (MAD)7
Skewness-0.01116861075
Sum450742
Variance91.1231224
MonotonicityNot monotonic
2022-09-20T22:38:25.452598image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
170275
 
9.8%
163192
 
6.9%
178184
 
6.6%
160173
 
6.2%
180135
 
4.8%
183125
 
4.5%
165120
 
4.3%
175114
 
4.1%
177114
 
4.1%
168112
 
4.0%
Other values (24)1111
39.7%
(Missing)141
 
5.0%
ValueCountFrequency (%)
1477
 
0.3%
15020
 
0.7%
15267
2.4%
15468
2.4%
15570
2.5%
ValueCountFrequency (%)
19034
 
1.2%
18875
2.7%
18720
 
0.7%
18526
 
0.9%
183125
4.5%

bl_ra_weight
Real number (ℝ≥0)

MISSING

Distinct86
Distinct (%)3.2%
Missing123
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean89.5080434
Minimum44
Maximum209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:25.560553image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile56
Q172
median88
Q3101
95-th percentile133
Maximum209
Range165
Interquartile range (IQR)29

Descriptive statistics

Standard deviation25.99779814
Coefficient of variation (CV)0.2904520884
Kurtosis1.684111154
Mean89.5080434
Median Absolute Deviation (MAD)16
Skewness1.037053671
Sum239255
Variance675.8855079
MonotonicityNot monotonic
2022-09-20T22:38:25.670950image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7490
 
3.2%
9082
 
2.9%
6373
 
2.6%
7073
 
2.6%
9373
 
2.6%
8470
 
2.5%
9466
 
2.4%
7765
 
2.3%
9861
 
2.2%
9260
 
2.1%
Other values (76)1960
70.1%
(Missing)123
 
4.4%
ValueCountFrequency (%)
4414
0.5%
462
 
0.1%
4818
0.6%
514
 
0.1%
5219
0.7%
ValueCountFrequency (%)
2094
 
0.1%
18415
0.5%
17319
0.7%
17121
0.8%
16017
0.6%

bl_ra_COPD_medications
Real number (ℝ≥0)

MISSING

Distinct49
Distinct (%)1.8%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean520.0169242
Minimum1
Maximum1165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:25.786377image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median103
Q31032
95-th percentile1063
Maximum1165
Range1164
Interquartile range (IQR)1024

Descriptive statistics

Standard deviation509.7176097
Coefficient of variation (CV)0.9801942706
Kurtosis-1.976640085
Mean520.0169242
Median Absolute Deviation (MAD)102
Skewness0.03873348888
Sum1413406
Variance259812.0417
MonotonicityNot monotonic
2022-09-20T22:38:25.896965image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
9326
 
11.7%
1248
 
8.9%
1025209
 
7.5%
1033207
 
7.4%
1027190
 
6.8%
8140
 
5.0%
3107
 
3.8%
779
 
2.8%
473
 
2.6%
103270
 
2.5%
Other values (39)1069
38.2%
(Missing)78
 
2.8%
ValueCountFrequency (%)
1248
8.9%
216
 
0.6%
3107
3.8%
473
 
2.6%
521
 
0.8%
ValueCountFrequency (%)
116515
0.5%
115718
0.6%
11526
 
0.2%
110318
0.6%
109720
0.7%

bl_ra_Anthonisen_exacerbation_type
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.3%
Missing1751
Missing (%)62.6%
Infinite0
Infinite (%)0.0%
Mean1.812440191
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:25.989970image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8195634044
Coefficient of variation (CV)0.452187834
Kurtosis-1.422420792
Mean1.812440191
Median Absolute Deviation (MAD)1
Skewness0.3582009045
Sum1894
Variance0.6716841739
MonotonicityNot monotonic
2022-09-20T22:38:26.061578image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1467
 
16.7%
2307
 
11.0%
3271
 
9.7%
(Missing)1751
62.6%
ValueCountFrequency (%)
1467
16.7%
2307
11.0%
3271
9.7%
ValueCountFrequency (%)
3271
9.7%
2307
11.0%
1467
16.7%

bl_ra_COPD_GOLD_stage
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.2%
Missing474
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean2.420757967
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:26.145684image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9328878934
Coefficient of variation (CV)0.3853701634
Kurtosis-0.8750692978
Mean2.420757967
Median Absolute Deviation (MAD)1
Skewness0.04798495105
Sum5621
Variance0.8702798216
MonotonicityNot monotonic
2022-09-20T22:38:26.410611image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2809
28.9%
3786
28.1%
1421
15.1%
4306
 
10.9%
(Missing)474
17.0%
ValueCountFrequency (%)
1421
15.1%
2809
28.9%
3786
28.1%
4306
 
10.9%
ValueCountFrequency (%)
4306
 
10.9%
3786
28.1%
2809
28.9%
1421
15.1%

bl_ra_6_minute_walk_score
Real number (ℝ≥0)

MISSING
ZEROS

Distinct71
Distinct (%)4.7%
Missing1280
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean313.4043536
Minimum0
Maximum696
Zeros29
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:26.535908image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile140
Q1257
median309
Q3374
95-th percentile509
Maximum696
Range696
Interquartile range (IQR)117

Descriptive statistics

Standard deviation111.6267092
Coefficient of variation (CV)0.3561747241
Kurtosis0.8890817619
Mean313.4043536
Median Absolute Deviation (MAD)60
Skewness-0.1933528825
Sum475121
Variance12460.5222
MonotonicityNot monotonic
2022-09-20T22:38:26.673141image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35255
 
2.0%
33552
 
1.9%
38452
 
1.9%
42742
 
1.5%
16040
 
1.4%
34639
 
1.4%
27039
 
1.4%
27339
 
1.4%
22938
 
1.4%
51037
 
1.3%
Other values (61)1083
38.7%
(Missing)1280
45.8%
ValueCountFrequency (%)
029
1.0%
1019
0.7%
13720
0.7%
14021
0.8%
14518
0.6%
ValueCountFrequency (%)
6962
 
0.1%
60517
0.6%
56217
0.6%
51037
1.3%
50920
0.7%

bl_ra_patient_group
Real number (ℝ≥0)

Distinct3
Distinct (%)0.1%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.625984252
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:26.783237image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4846935845
Coefficient of variation (CV)0.2980924224
Kurtosis-1.713614434
Mean1.625984252
Median Absolute Deviation (MAD)0
Skewness-0.5115766184
Sum4543
Variance0.2349278709
MonotonicityNot monotonic
2022-09-20T22:38:26.867146image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
21747
62.5%
11046
37.4%
31
 
< 0.1%
(Missing)2
 
0.1%
ValueCountFrequency (%)
11046
37.4%
21747
62.5%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
21747
62.5%
11046
37.4%

bl_ra_FEV1_2
Real number (ℝ≥0)

MISSING

Distinct68
Distinct (%)4.3%
Missing1206
Missing (%)43.1%
Infinite0
Infinite (%)0.0%
Mean1.334320755
Minimum0.38
Maximum3.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:26.982023image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.38
5-th percentile0.55
Q10.93
median1.22
Q31.67
95-th percentile2.44
Maximum3.63
Range3.25
Interquartile range (IQR)0.74

Descriptive statistics

Standard deviation0.5957397612
Coefficient of variation (CV)0.4464741773
Kurtosis1.257980631
Mean1.334320755
Median Absolute Deviation (MAD)0.33
Skewness1.010214207
Sum2121.57
Variance0.3549058631
MonotonicityNot monotonic
2022-09-20T22:38:27.132975image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0559
 
2.1%
1.3556
 
2.0%
0.5550
 
1.8%
1.2742
 
1.5%
1.0742
 
1.5%
1.6741
 
1.5%
1.541
 
1.5%
1.8938
 
1.4%
1.1738
 
1.4%
0.6738
 
1.4%
Other values (58)1145
41.0%
(Missing)1206
43.1%
ValueCountFrequency (%)
0.3818
 
0.6%
0.477
 
0.3%
0.5420
 
0.7%
0.5550
1.8%
0.5816
 
0.6%
ValueCountFrequency (%)
3.6317
0.6%
2.6919
0.7%
2.6616
0.6%
2.5920
0.7%
2.4421
0.8%

bl_ra_FVC_2
Real number (ℝ≥0)

MISSING

Distinct71
Distinct (%)4.5%
Missing1224
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean2.489541985
Minimum0.88
Maximum4.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:27.258145image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.88
5-th percentile1.39
Q11.875
median2.47
Q32.93
95-th percentile3.92
Maximum4.85
Range3.97
Interquartile range (IQR)1.055

Descriptive statistics

Standard deviation0.7924156198
Coefficient of variation (CV)0.318297753
Kurtosis0.4800910525
Mean2.489541985
Median Absolute Deviation (MAD)0.56
Skewness0.6775006395
Sum3913.56
Variance0.6279225145
MonotonicityNot monotonic
2022-09-20T22:38:27.380547image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.8463
 
2.3%
2.856
 
2.0%
1.8656
 
2.0%
1.6741
 
1.5%
3.0341
 
1.5%
240
 
1.4%
2.339
 
1.4%
2.8737
 
1.3%
2.5437
 
1.3%
1.7836
 
1.3%
Other values (61)1126
40.3%
(Missing)1224
43.8%
ValueCountFrequency (%)
0.8819
0.7%
1.0718
0.6%
1.2720
0.7%
1.3720
0.7%
1.3920
0.7%
ValueCountFrequency (%)
4.8520
0.7%
4.6520
0.7%
4.3617
0.6%
4.2620
0.7%
3.9221
0.8%

bl_ra_PEF_2
Real number (ℝ≥0)

MISSING

Distinct80
Distinct (%)5.1%
Missing1225
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean4.123290898
Minimum0.92
Maximum8.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:27.510483image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.92
5-th percentile1.8
Q12.64
median3.8
Q35.15
95-th percentile7.93
Maximum8.45
Range7.53
Interquartile range (IQR)2.51

Descriptive statistics

Standard deviation1.75165332
Coefficient of variation (CV)0.4248192436
Kurtosis-0.05371890006
Mean4.123290898
Median Absolute Deviation (MAD)1.16
Skewness0.7163388661
Sum6477.69
Variance3.068289354
MonotonicityNot monotonic
2022-09-20T22:38:27.631886image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.6260
 
2.1%
3.4341
 
1.5%
4.0538
 
1.4%
2.337
 
1.3%
3.7435
 
1.3%
3.7634
 
1.2%
2.3221
 
0.8%
7.9321
 
0.8%
3.6521
 
0.8%
7.5421
 
0.8%
Other values (70)1242
44.4%
(Missing)1225
43.8%
ValueCountFrequency (%)
0.9218
0.6%
1.3314
0.5%
1.519
0.7%
1.7520
0.7%
1.820
0.7%
ValueCountFrequency (%)
8.4520
0.7%
8.1419
0.7%
8.0119
0.7%
7.9616
0.6%
7.9321
0.8%

bl_ra_FEV1_FVC_ratio_2
Real number (ℝ≥0)

MISSING

Distinct52
Distinct (%)3.2%
Missing1186
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean55.47552795
Minimum24
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:27.766048image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile30
Q140
median54
Q368
95-th percentile83
Maximum97
Range73
Interquartile range (IQR)28

Descriptive statistics

Standard deviation17.79474465
Coefficient of variation (CV)0.3207674682
Kurtosis-0.8279381173
Mean55.47552795
Median Absolute Deviation (MAD)14
Skewness0.2791956432
Sum89315.6
Variance316.6529371
MonotonicityNot monotonic
2022-09-20T22:38:27.884261image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4980
 
2.9%
3877
 
2.8%
4873
 
2.6%
4561
 
2.2%
3661
 
2.2%
5458
 
2.1%
7557
 
2.0%
6654
 
1.9%
6853
 
1.9%
6448
 
1.7%
Other values (42)988
35.3%
(Missing)1186
42.4%
ValueCountFrequency (%)
2417
0.6%
2514
 
0.5%
2737
1.3%
297
 
0.3%
3020
0.7%
ValueCountFrequency (%)
9730
1.1%
9420
0.7%
8416
0.6%
8336
1.3%
8219
0.7%

bl_ra_FEV1_1
Real number (ℝ≥0)

MISSING

Distinct95
Distinct (%)4.6%
Missing736
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean1.367121359
Minimum0.37
Maximum3.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:28.152486image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.37
5-th percentile0.59
Q10.9
median1.3
Q31.77
95-th percentile2.52
Maximum3.57
Range3.2
Interquartile range (IQR)0.87

Descriptive statistics

Standard deviation0.6024127584
Coefficient of variation (CV)0.4406432204
Kurtosis0.8181105499
Mean1.367121359
Median Absolute Deviation (MAD)0.42
Skewness0.9039705602
Sum2816.27
Variance0.3629011315
MonotonicityNot monotonic
2022-09-20T22:38:28.287511image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
181
 
2.9%
1.4557
 
2.0%
1.7756
 
2.0%
0.9653
 
1.9%
1.548
 
1.7%
0.8745
 
1.6%
0.8343
 
1.5%
1.241
 
1.5%
1.3141
 
1.5%
0.6541
 
1.5%
Other values (85)1554
55.6%
(Missing)736
26.3%
ValueCountFrequency (%)
0.377
 
0.3%
0.428
 
0.3%
0.4814
0.5%
0.5232
1.1%
0.5616
0.6%
ValueCountFrequency (%)
3.5717
0.6%
3.1220
0.7%
3.111
 
< 0.1%
2.720
0.7%
2.676
 
0.2%

bl_ra_COPD_medications_comment
Categorical

HIGH CARDINALITY

Distinct67
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
865 
Advair
621 
Prednisone
 
95
Advair Prednisone
 
85
Mometasone Furoate
 
62
Other values (62)
1068 

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st rowMometasone
2nd rowMometasone
3rd rowMometasone
4th rowMometasone
5th rowMometasone

Common Values

ValueCountFrequency (%)
865
30.9%
Advair621
22.2%
Prednisone95
 
3.4%
Advair Prednisone85
 
3.0%
Mometasone Furoate62
 
2.2%
Mometasone59
 
2.1%
Advair 250/5058
 
2.1%
Advair oxygen42
 
1.5%
Prednisone Azithromycin41
 
1.5%
Advair diskus40
 
1.4%
Other values (57)828
29.6%

fclinra02
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.2%
Missing277
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean1.078999603
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:28.404344image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3659879939
Coefficient of variation (CV)0.3391919634
Kurtosis27.79258328
Mean1.078999603
Median Absolute Deviation (MAD)0
Skewness5.138743251
Sum2718
Variance0.1339472117
MonotonicityNot monotonic
2022-09-20T22:38:28.482807image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
12388
85.4%
272
 
2.6%
350
 
1.8%
49
 
0.3%
(Missing)277
 
9.9%
ValueCountFrequency (%)
12388
85.4%
272
 
2.6%
350
 
1.8%
49
 
0.3%
ValueCountFrequency (%)
49
 
0.3%
350
 
1.8%
272
 
2.6%
12388
85.4%

fclinra03
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)2.6%
Missing2682
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean1.973684211
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:28.569683image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.7695594225
Coefficient of variation (CV)0.3899101074
Kurtosis-1.299576051
Mean1.973684211
Median Absolute Deviation (MAD)1
Skewness0.04516777025
Sum225
Variance0.5922217047
MonotonicityNot monotonic
2022-09-20T22:38:28.649522image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
247
 
1.7%
135
 
1.3%
332
 
1.1%
(Missing)2682
95.9%
ValueCountFrequency (%)
135
1.3%
247
1.7%
332
1.1%
ValueCountFrequency (%)
332
1.1%
247
1.7%
135
1.3%

fclinra04
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.2%
Missing399
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean2.377555277
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:28.740790image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9033679503
Coefficient of variation (CV)0.379956655
Kurtosis-0.7691131076
Mean2.377555277
Median Absolute Deviation (MAD)1
Skewness0.1197117693
Sum5699
Variance0.8160736536
MonotonicityNot monotonic
2022-09-20T22:38:28.819431image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2925
33.1%
3776
27.8%
1421
15.1%
4275
 
9.8%
(Missing)399
14.3%
ValueCountFrequency (%)
1421
15.1%
2925
33.1%
3776
27.8%
4275
 
9.8%
ValueCountFrequency (%)
4275
 
9.8%
3776
27.8%
2925
33.1%
1421
15.1%

fclinra06
Categorical

Distinct50
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
1939 
137
 
46
46
 
39
175
 
36
416
 
26
Other values (45)
710 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
1939
69.3%
13746
 
1.6%
4639
 
1.4%
17536
 
1.3%
41626
 
0.9%
18321
 
0.8%
32821
 
0.8%
89721
 
0.8%
27621
 
0.8%
35321
 
0.8%
Other values (40)605
 
21.6%

fclinra08
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.1%
Missing297
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean1.862745098
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:28.907926image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3441851219
Coefficient of variation (CV)0.1847730655
Kurtosis2.452108627
Mean1.862745098
Median Absolute Deviation (MAD)0
Skewness-2.109537104
Sum4655
Variance0.1184633982
MonotonicityNot monotonic
2022-09-20T22:38:28.985563image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
22156
77.1%
1343
 
12.3%
(Missing)297
 
10.6%
ValueCountFrequency (%)
1343
 
12.3%
22156
77.1%
ValueCountFrequency (%)
22156
77.1%
1343
 
12.3%

stofhla02
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)0.9%
Missing223
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean32.07267781
Minimum6
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:29.065541image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile19
Q132
median35
Q336
95-th percentile36
Maximum36
Range30
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.939017769
Coefficient of variation (CV)0.1851737421
Kurtosis4.624874956
Mean32.07267781
Median Absolute Deviation (MAD)1
Skewness-2.172271627
Sum82523
Variance35.27193206
MonotonicityNot monotonic
2022-09-20T22:38:29.151192image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
36739
26.4%
35597
21.4%
34309
11.1%
33198
 
7.1%
32133
 
4.8%
25121
 
4.3%
2966
 
2.4%
3155
 
2.0%
2452
 
1.9%
2048
 
1.7%
Other values (12)255
 
9.1%
(Missing)223
 
8.0%
ValueCountFrequency (%)
618
0.6%
717
0.6%
1431
1.1%
152
 
0.1%
166
 
0.2%
ValueCountFrequency (%)
36739
26.4%
35597
21.4%
34309
11.1%
33198
 
7.1%
32133
 
4.8%

stofhla
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)0.8%
Missing180
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean32.1280581
Minimum6
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:29.249008image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile19
Q132
median35
Q336
95-th percentile36
Maximum36
Range30
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.8797413
Coefficient of variation (CV)0.1830095452
Kurtosis4.816916753
Mean32.1280581
Median Absolute Deviation (MAD)1
Skewness-2.203297554
Sum84047
Variance34.57135776
MonotonicityNot monotonic
2022-09-20T22:38:29.333549image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
36746
26.7%
35633
22.6%
34309
11.1%
33177
 
6.3%
32154
 
5.5%
25105
 
3.8%
2966
 
2.4%
3155
 
2.0%
1852
 
1.9%
2452
 
1.9%
Other values (12)267
 
9.5%
(Missing)180
 
6.4%
ValueCountFrequency (%)
618
0.6%
717
0.6%
1431
1.1%
152
 
0.1%
166
 
0.2%
ValueCountFrequency (%)
36746
26.7%
35633
22.6%
34309
11.1%
33177
 
6.3%
32154
 
5.5%

elig09
Real number (ℝ≥0)

MISSING

Distinct68
Distinct (%)2.5%
Missing88
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean47.6274003
Minimum10
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:29.438250image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile16
Q129
median40
Q354
95-th percentile114
Maximum180
Range170
Interquartile range (IQR)25

Descriptive statistics

Standard deviation30.75477712
Coefficient of variation (CV)0.6457370533
Kurtosis4.215462577
Mean47.6274003
Median Absolute Deviation (MAD)12
Skewness1.908852142
Sum128975
Variance945.8563158
MonotonicityNot monotonic
2022-09-20T22:38:29.545175image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45200
 
7.2%
40180
 
6.4%
50178
 
6.4%
30169
 
6.0%
2393
 
3.3%
6090
 
3.2%
2089
 
3.2%
3587
 
3.1%
2271
 
2.5%
3667
 
2.4%
Other values (58)1484
53.1%
(Missing)88
 
3.1%
ValueCountFrequency (%)
1036
1.3%
1114
 
0.5%
1214
 
0.5%
1417
 
0.6%
1548
1.7%
ValueCountFrequency (%)
18016
0.6%
16521
0.8%
15621
0.8%
15019
0.7%
13019
0.7%

bl_ra_FVC_1
Real number (ℝ≥0)

MISSING

Distinct100
Distinct (%)4.9%
Missing743
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean2.654607891
Minimum1.08
Maximum5.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:29.662289image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.08
5-th percentile1.38
Q12.08
median2.52
Q33.11
95-th percentile4.27
Maximum5.14
Range4.06
Interquartile range (IQR)1.03

Descriptive statistics

Standard deviation0.8452480429
Coefficient of variation (CV)0.3184078695
Kurtosis0.3651492758
Mean2.654607891
Median Absolute Deviation (MAD)0.53
Skewness0.672180686
Sum5449.91
Variance0.7144442541
MonotonicityNot monotonic
2022-09-20T22:38:29.926086image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9988
 
3.1%
2.3360
 
2.1%
2.353
 
1.9%
3.1842
 
1.5%
3.1139
 
1.4%
2.8639
 
1.4%
2.0839
 
1.4%
2.6739
 
1.4%
2.638
 
1.4%
2.936
 
1.3%
Other values (90)1580
56.5%
(Missing)743
26.6%
ValueCountFrequency (%)
1.0816
0.6%
1.1720
0.7%
1.219
0.7%
1.2318
0.6%
1.278
 
0.3%
ValueCountFrequency (%)
5.1420
0.7%
517
0.6%
4.7418
0.6%
4.6821
0.8%
4.461
 
< 0.1%

bl_ra_PEF_1
Real number (ℝ≥0)

MISSING

Distinct114
Distinct (%)5.7%
Missing803
Missing (%)28.7%
Infinite0
Infinite (%)0.0%
Mean4.385002509
Minimum0.98
Maximum10.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:30.052863image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.98
5-th percentile1.88
Q12.83
median4.01
Q35.34
95-th percentile8.23
Maximum10.14
Range9.16
Interquartile range (IQR)2.51

Descriptive statistics

Standard deviation1.946247912
Coefficient of variation (CV)0.4438419154
Kurtosis-0.3249666519
Mean4.385002509
Median Absolute Deviation (MAD)1.26
Skewness0.67549728
Sum8739.31
Variance3.787880936
MonotonicityNot monotonic
2022-09-20T22:38:30.163538image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3540
 
1.4%
4.0140
 
1.4%
2.939
 
1.4%
2.3739
 
1.4%
3.838
 
1.4%
2.8334
 
1.2%
5.2733
 
1.2%
3.9627
 
1.0%
2.4225
 
0.9%
5.0421
 
0.8%
Other values (104)1657
59.3%
(Missing)803
28.7%
ValueCountFrequency (%)
0.988
0.3%
1.3419
0.7%
1.3914
0.5%
1.5614
0.5%
1.5716
0.6%
ValueCountFrequency (%)
10.141
 
< 0.1%
9.2616
0.6%
8.8613
0.5%
8.720
0.7%
8.6719
0.7%

bl_ra_FEV1_FVC_ratio_1
Real number (ℝ≥0)

MISSING

Distinct54
Distinct (%)2.7%
Missing777
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean52.90579495
Minimum21
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:30.279850image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile28
Q138
median54
Q366
95-th percentile80
Maximum99
Range78
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.97939231
Coefficient of variation (CV)0.3209363422
Kurtosis-0.7504431927
Mean52.90579495
Median Absolute Deviation (MAD)14
Skewness0.1944313392
Sum106816.8
Variance288.2997632
MonotonicityNot monotonic
2022-09-20T22:38:30.396521image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6690
 
3.2%
6088
 
3.1%
3887
 
3.1%
3577
 
2.8%
5774
 
2.6%
3772
 
2.6%
4567
 
2.4%
8065
 
2.3%
3664
 
2.3%
5961
 
2.2%
Other values (44)1274
45.6%
(Missing)777
27.8%
ValueCountFrequency (%)
2117
0.6%
2427
1.0%
2539
1.4%
2834
1.2%
2933
1.2%
ValueCountFrequency (%)
9921
0.8%
947
 
0.3%
922
 
0.1%
8616
0.6%
826
 
0.2%

fclinra53
Real number (ℝ≥0)

MISSING

Distinct53
Distinct (%)5.8%
Missing1877
Missing (%)67.1%
Infinite0
Infinite (%)0.0%
Mean1.501164309
Minimum0.39
Maximum3.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:30.518102image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.39
5-th percentile0.56
Q10.84
median1.36
Q32.06
95-th percentile2.95
Maximum3.17
Range2.78
Interquartile range (IQR)1.22

Descriptive statistics

Standard deviation0.7428607588
Coefficient of variation (CV)0.4948563954
Kurtosis-0.6878991093
Mean1.501164309
Median Absolute Deviation (MAD)0.52
Skewness0.5959282635
Sum1379.57
Variance0.551842107
MonotonicityNot monotonic
2022-09-20T22:38:30.626632image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7841
 
1.5%
2.6737
 
1.3%
1.2137
 
1.3%
1.6736
 
1.3%
1.3629
 
1.0%
0.5628
 
1.0%
0.7522
 
0.8%
3.1721
 
0.8%
1.2721
 
0.8%
0.6621
 
0.8%
Other values (43)626
 
22.4%
(Missing)1877
67.1%
ValueCountFrequency (%)
0.3911
 
0.4%
0.516
0.6%
0.5517
0.6%
0.5628
1.0%
0.6319
0.7%
ValueCountFrequency (%)
3.1721
0.8%
320
0.7%
2.9518
0.6%
2.7113
 
0.5%
2.6737
1.3%

fclinra53b
Real number (ℝ≥0)

MISSING

Distinct54
Distinct (%)5.9%
Missing1888
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean2.915462555
Minimum0.57
Maximum4.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:30.751865image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.57
5-th percentile1.76
Q12.3
median2.93
Q33.67
95-th percentile4.04
Maximum4.3
Range3.73
Interquartile range (IQR)1.37

Descriptive statistics

Standard deviation0.820256841
Coefficient of variation (CV)0.2813470678
Kurtosis-0.214726283
Mean2.915462555
Median Absolute Deviation (MAD)0.7
Skewness-0.4492272258
Sum2647.24
Variance0.6728212853
MonotonicityNot monotonic
2022-09-20T22:38:30.874056image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.9138
 
1.4%
3.0635
 
1.3%
3.6933
 
1.2%
3.2130
 
1.1%
3.3922
 
0.8%
2.1921
 
0.8%
3.7821
 
0.8%
3.3321
 
0.8%
2.0821
 
0.8%
1.8721
 
0.8%
Other values (44)645
 
23.1%
(Missing)1888
67.5%
ValueCountFrequency (%)
0.5718
0.6%
1.0811
0.4%
1.5814
0.5%
1.7620
0.7%
1.7917
0.6%
ValueCountFrequency (%)
4.320
0.7%
4.0616
0.6%
4.0414
0.5%
4.0213
0.5%
3.9511
0.4%

fclinra53c
Real number (ℝ≥0)

MISSING

Distinct36
Distinct (%)4.0%
Missing1890
Missing (%)67.6%
Infinite0
Infinite (%)0.0%
Mean47.24944812
Minimum17
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:30.990838image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile24
Q136
median45
Q361
95-th percentile76
Maximum87
Range70
Interquartile range (IQR)25

Descriptive statistics

Standard deviation17.29917523
Coefficient of variation (CV)0.3661243871
Kurtosis-0.8211498927
Mean47.24944812
Median Absolute Deviation (MAD)15
Skewness0.3016582992
Sum42808
Variance299.2614638
MonotonicityNot monotonic
2022-09-20T22:38:31.093362image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
6569
 
2.5%
4268
 
2.4%
4560
 
2.1%
3850
 
1.8%
2839
 
1.4%
3636
 
1.3%
3035
 
1.3%
2434
 
1.2%
2134
 
1.2%
4434
 
1.2%
Other values (26)447
 
16.0%
(Missing)1890
67.6%
ValueCountFrequency (%)
1711
 
0.4%
2134
1.2%
2434
1.2%
2526
0.9%
2613
 
0.5%
ValueCountFrequency (%)
8721
0.8%
7715
0.5%
7628
1.0%
7518
0.6%
7120
0.7%

fclinra54
Real number (ℝ≥0)

MISSING

Distinct53
Distinct (%)5.9%
Missing1893
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean2.593909192
Minimum0.86
Maximum4.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:31.208144image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.86
5-th percentile1.324
Q11.975
median2.4
Q33.2
95-th percentile4.24
Maximum4.86
Range4
Interquartile range (IQR)1.225

Descriptive statistics

Standard deviation0.9121079485
Coefficient of variation (CV)0.3516344949
Kurtosis-0.5808780228
Mean2.593909192
Median Absolute Deviation (MAD)0.53
Skewness0.433118213
Sum2342.3
Variance0.8319409097
MonotonicityNot monotonic
2022-09-20T22:38:31.476390image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3346
 
1.6%
3.7237
 
1.3%
2.2830
 
1.1%
2.626
 
0.9%
2.5725
 
0.9%
3.4221
 
0.8%
2.1321
 
0.8%
3.221
 
0.8%
1.9421
 
0.8%
4.2421
 
0.8%
Other values (43)634
 
22.7%
(Missing)1893
67.7%
ValueCountFrequency (%)
0.8616
0.6%
1.1519
0.7%
1.3211
0.4%
1.3620
0.7%
1.419
0.7%
ValueCountFrequency (%)
4.8613
0.5%
4.316
0.6%
4.2421
0.8%
4.1519
0.7%
4.1120
0.7%

fclinra54b
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)6.1%
Missing1877
Missing (%)67.1%
Infinite0
Infinite (%)0.0%
Mean3.869967356
Minimum1.56
Maximum5.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:31.599089image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.56
5-th percentile2.42
Q13.14
median3.81
Q34.8
95-th percentile5.32
Maximum5.62
Range4.06
Interquartile range (IQR)1.66

Descriptive statistics

Standard deviation0.9628626409
Coefficient of variation (CV)0.2488038147
Kurtosis-0.9884401127
Mean3.869967356
Median Absolute Deviation (MAD)0.87
Skewness-0.1293360941
Sum3556.5
Variance0.9271044652
MonotonicityNot monotonic
2022-09-20T22:38:31.713319image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.4232
 
1.1%
3.1428
 
1.0%
5.1323
 
0.8%
4.9321
 
0.8%
4.5421
 
0.8%
4.8121
 
0.8%
2.7421
 
0.8%
2.7921
 
0.8%
2.621
 
0.8%
2.3620
 
0.7%
Other values (46)690
 
24.7%
(Missing)1877
67.1%
ValueCountFrequency (%)
1.5611
 
0.4%
2.0614
0.5%
2.3620
0.7%
2.4232
1.1%
2.621
0.8%
ValueCountFrequency (%)
5.6220
0.7%
5.3616
0.6%
5.3214
0.5%
5.1520
0.7%
5.1323
0.8%

fclinra54c
Real number (ℝ≥0)

MISSING

Distinct44
Distinct (%)4.9%
Missing1896
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean66.81666667
Minimum25
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:31.832656image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile38
Q156
median68
Q376
95-th percentile97
Maximum117
Range92
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.25741607
Coefficient of variation (CV)0.2582801108
Kurtosis0.6384933771
Mean66.81666667
Median Absolute Deviation (MAD)10
Skewness-0.04109727957
Sum60135
Variance297.8184093
MonotonicityNot monotonic
2022-09-20T22:38:31.936959image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
7659
 
2.1%
6746
 
1.6%
7243
 
1.5%
6838
 
1.4%
7337
 
1.3%
7534
 
1.2%
5833
 
1.2%
4030
 
1.1%
7430
 
1.1%
8827
 
1.0%
Other values (34)523
 
18.7%
(Missing)1896
67.8%
ValueCountFrequency (%)
2516
0.6%
2719
0.7%
3811
 
0.4%
4030
1.1%
4216
0.6%
ValueCountFrequency (%)
11714
0.5%
10515
0.5%
994
 
0.1%
9713
0.5%
8919
0.7%

fclinra55
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)6.2%
Missing1898
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean4.185757238
Minimum0.87
Maximum9.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:32.047215image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.87
5-th percentile1.48
Q12
median3.53
Q35.56
95-th percentile8.72
Maximum9.01
Range8.14
Interquartile range (IQR)3.56

Descriptive statistics

Standard deviation2.283614489
Coefficient of variation (CV)0.5455678289
Kurtosis-0.5828878908
Mean4.185757238
Median Absolute Deviation (MAD)1.62
Skewness0.625548818
Sum3758.81
Variance5.214895134
MonotonicityNot monotonic
2022-09-20T22:38:32.158752image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9637
 
1.3%
4.937
 
1.3%
1.8935
 
1.3%
1.4821
 
0.8%
9.0121
 
0.8%
5.9721
 
0.8%
2.2821
 
0.8%
8.0221
 
0.8%
1.8420
 
0.7%
8.4820
 
0.7%
Other values (46)644
 
23.0%
(Missing)1898
67.9%
ValueCountFrequency (%)
0.8716
0.6%
0.9611
0.4%
1.4314
0.5%
1.4821
0.8%
1.518
0.6%
ValueCountFrequency (%)
9.0121
0.8%
8.9719
0.7%
8.7215
0.5%
8.4820
0.7%
8.3520
0.7%

fclinra55b
Real number (ℝ≥0)

MISSING

Distinct57
Distinct (%)6.4%
Missing1902
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean7.468187919
Minimum2.77
Maximum10.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:32.285371image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.77
5-th percentile4.71
Q15.92
median7.64
Q39.34
95-th percentile10.04
Maximum10.49
Range7.72
Interquartile range (IQR)3.42

Descriptive statistics

Standard deviation1.876489916
Coefficient of variation (CV)0.2512644214
Kurtosis-1.049871167
Mean7.468187919
Median Absolute Deviation (MAD)1.7
Skewness-0.1987536729
Sum6676.56
Variance3.521214406
MonotonicityNot monotonic
2022-09-20T22:38:32.397877image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.5821
 
0.8%
8.4521
 
0.8%
5.6821
 
0.8%
5.4221
 
0.8%
9.3621
 
0.8%
4.9221
 
0.8%
6.3920
 
0.7%
4.7120
 
0.7%
6.0920
 
0.7%
6.5720
 
0.7%
Other values (47)688
 
24.6%
(Missing)1902
68.0%
ValueCountFrequency (%)
2.7711
0.4%
4.1514
0.5%
4.1717
0.6%
4.7120
0.7%
4.9221
0.8%
ValueCountFrequency (%)
10.4920
0.7%
10.213
0.5%
10.0416
0.6%
10.0214
0.5%
9.8711
0.4%

fclinra55c
Real number (ℝ≥0)

MISSING

Distinct40
Distinct (%)4.5%
Missing1904
Missing (%)68.1%
Infinite0
Infinite (%)0.0%
Mean52.76681614
Minimum20
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:32.510401image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q134
median51
Q366
95-th percentile90
Maximum107
Range87
Interquartile range (IQR)32

Descriptive statistics

Standard deviation22.00850508
Coefficient of variation (CV)0.4170898813
Kurtosis-0.6458946364
Mean52.76681614
Median Absolute Deviation (MAD)16
Skewness0.4208604922
Sum47068
Variance484.374296
MonotonicityNot monotonic
2022-09-20T22:38:32.612754image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2059
 
2.1%
5149
 
1.8%
3040
 
1.4%
4040
 
1.4%
2640
 
1.4%
3438
 
1.4%
4335
 
1.3%
8534
 
1.2%
6331
 
1.1%
8129
 
1.0%
Other values (30)497
 
17.8%
(Missing)1904
68.1%
ValueCountFrequency (%)
2059
2.1%
2211
 
0.4%
2415
 
0.5%
2640
1.4%
3040
1.4%
ValueCountFrequency (%)
10715
0.5%
9919
0.7%
9016
0.6%
8621
0.8%
8534
1.2%

fclinra56
Real number (ℝ≥0)

MISSING

Distinct42
Distinct (%)4.7%
Missing1898
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean55.88975501
Minimum24
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:32.717334image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile28
Q142
median58
Q369
95-th percentile81
Maximum89
Range65
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.52875221
Coefficient of variation (CV)0.2957384982
Kurtosis-0.9528479763
Mean55.88975501
Median Absolute Deviation (MAD)13
Skewness-0.1570326153
Sum50189
Variance273.1996497
MonotonicityNot monotonic
2022-09-20T22:38:32.971116image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6168
 
2.4%
7555
 
2.0%
4752
 
1.9%
7339
 
1.4%
6538
 
1.4%
3936
 
1.3%
3833
 
1.2%
5831
 
1.1%
6629
 
1.0%
8129
 
1.0%
Other values (32)488
 
17.5%
(Missing)1898
67.9%
ValueCountFrequency (%)
2417
0.6%
2720
0.7%
2815
0.5%
2914
0.5%
3011
0.4%
ValueCountFrequency (%)
8913
0.5%
849
 
0.3%
8314
0.5%
8129
1.0%
7815
0.5%

fclinra56b
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)2.0%
Missing1877
Missing (%)67.1%
Infinite0
Infinite (%)0.0%
Mean75.07932535
Minimum44
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:33.074377image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile55
Q175
median77
Q379
95-th percentile80.6
Maximum82
Range38
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.600246511
Coefficient of variation (CV)0.0879103066
Kurtosis8.298304042
Mean75.07932535
Median Absolute Deviation (MAD)2
Skewness-2.805832502
Sum68997.9
Variance43.56325401
MonotonicityNot monotonic
2022-09-20T22:38:33.158196image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
79152
 
5.4%
77142
 
5.1%
76133
 
4.8%
7590
 
3.2%
7887
 
3.1%
7474
 
2.6%
8052
 
1.9%
8124
 
0.9%
52.321
 
0.8%
7021
 
0.8%
Other values (8)123
 
4.4%
(Missing)1877
67.1%
ValueCountFrequency (%)
4411
0.4%
52.321
0.8%
5520
0.7%
6411
0.4%
6717
0.6%
ValueCountFrequency (%)
8211
 
0.4%
8124
 
0.9%
80.616
 
0.6%
8052
 
1.9%
79152
5.4%

agecat1
Real number (ℝ≥0)

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.866237482
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:33.240400image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8782754321
Coefficient of variation (CV)0.3064210267
Kurtosis-1.070753715
Mean2.866237482
Median Absolute Deviation (MAD)1
Skewness-0.08569104451
Sum8014
Variance0.7713677346
MonotonicityNot monotonic
2022-09-20T22:38:33.309926image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2960
34.3%
3920
32.9%
4806
28.8%
1110
 
3.9%
ValueCountFrequency (%)
1110
 
3.9%
2960
34.3%
3920
32.9%
4806
28.8%
ValueCountFrequency (%)
4806
28.8%
3920
32.9%
2960
34.3%
1110
 
3.9%

white
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing46
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.7490909091
Minimum0
Maximum1
Zeros690
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:33.387760image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4336151412
Coefficient of variation (CV)0.5788551642
Kurtosis-0.6785934505
Mean0.7490909091
Median Absolute Deviation (MAD)0
Skewness-1.149739362
Sum2060
Variance0.1880220907
MonotonicityNot monotonic
2022-09-20T22:38:33.464519image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
12060
73.7%
0690
 
24.7%
(Missing)46
 
1.6%
ValueCountFrequency (%)
0690
 
24.7%
12060
73.7%
ValueCountFrequency (%)
12060
73.7%
0690
 
24.7%

chart_bmi
Real number (ℝ≥0)

MISSING

Distinct169
Distinct (%)6.4%
Missing141
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean31.15254278
Minimum15.82609215
Maximum78.66310362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:33.561295image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum15.82609215
5-th percentile19.72386588
Q125.14285714
median29.2184076
Q335.99632691
95-th percentile48.01097394
Maximum78.66310362
Range62.83701147
Interquartile range (IQR)10.85346976

Descriptive statistics

Standard deviation9.077139537
Coefficient of variation (CV)0.2913771631
Kurtosis3.479265161
Mean31.15254278
Median Absolute Deviation (MAD)5.212920628
Skewness1.476949559
Sum82710.00107
Variance82.39446217
MonotonicityNot monotonic
2022-09-20T22:38:33.669269image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.775510234
 
1.2%
26.6435986234
 
1.2%
31.5616715125
 
0.9%
36.4366448521
 
0.8%
27.681660921
 
0.8%
32.0759129921
 
0.8%
27.1664479121
 
0.8%
29.938271621
 
0.8%
52.7777777821
 
0.8%
27.4238227121
 
0.8%
Other values (159)2415
86.4%
(Missing)141
 
5.0%
ValueCountFrequency (%)
15.8260921510
0.4%
18.0427010616
0.6%
18.2098765418
0.6%
18.253109791
 
< 0.1%
18.3057694721
0.8%
ValueCountFrequency (%)
78.663103624
 
0.1%
69.2536414615
0.5%
65.1134781119
0.7%
61.7260136617
0.6%
56.456772933
 
0.1%

sr_ft
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.1%
Missing121
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean5.115514019
Minimum5
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:33.768515image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile6
Maximum6
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3197010151
Coefficient of variation (CV)0.06249636184
Kurtosis3.796893534
Mean5.115514019
Median Absolute Deviation (MAD)0
Skewness2.407084397
Sum13684
Variance0.1022087391
MonotonicityNot monotonic
2022-09-20T22:38:33.851809image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
52366
84.6%
6309
 
11.1%
(Missing)121
 
4.3%
ValueCountFrequency (%)
52366
84.6%
6309
 
11.1%
ValueCountFrequency (%)
6309
 
11.1%
52366
84.6%

sr_in
Real number (ℝ≥0)

MISSING
ZEROS

Distinct12
Distinct (%)0.4%
Missing121
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean5.59588785
Minimum0
Maximum11
Zeros255
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:33.940024image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q39
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.452214381
Coefficient of variation (CV)0.6169198656
Kurtosis-1.195542709
Mean5.59588785
Median Absolute Deviation (MAD)3
Skewness-0.07305820155
Sum14969
Variance11.91778413
MonotonicityNot monotonic
2022-09-20T22:38:34.029431image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4324
11.6%
10286
10.2%
7273
9.8%
3260
9.3%
0255
9.1%
8230
8.2%
6215
7.7%
1203
7.3%
11198
7.1%
9198
7.1%
Other values (2)233
8.3%
ValueCountFrequency (%)
0255
9.1%
1203
7.3%
2112
 
4.0%
3260
9.3%
4324
11.6%
ValueCountFrequency (%)
11198
7.1%
10286
10.2%
9198
7.1%
8230
8.2%
7273
9.8%

sr_ht
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)0.6%
Missing121
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean66.98205607
Minimum60
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:34.113643image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile61
Q164
median67
Q370
95-th percentile73
Maximum75
Range15
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.700307184
Coefficient of variation (CV)0.05524326067
Kurtosis-0.8280544195
Mean66.98205607
Median Absolute Deviation (MAD)3
Skewness-0.01247637876
Sum179177
Variance13.69227326
MonotonicityNot monotonic
2022-09-20T22:38:34.194810image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
64324
11.6%
70286
10.2%
67273
9.8%
68230
8.2%
63226
8.1%
66215
7.7%
71198
7.1%
69198
7.1%
72151
 
5.4%
61140
 
5.0%
Other values (6)434
15.5%
ValueCountFrequency (%)
60104
 
3.7%
61140
5.0%
6251
 
1.8%
63226
8.1%
64324
11.6%
ValueCountFrequency (%)
7534
 
1.2%
7461
 
2.2%
7363
 
2.3%
72151
5.4%
71198
7.1%

sr_bmi
Real number (ℝ≥0)

MISSING

Distinct167
Distinct (%)6.3%
Missing140
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean30.58723019
Minimum14.56426821
Maximum79.08087505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:34.299664image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum14.56426821
5-th percentile19.22265625
Q124.02832031
median29.16595882
Q335.2716263
95-th percentile48.05664062
Maximum79.08087505
Range64.51660684
Interquartile range (IQR)11.24330599

Descriptive statistics

Standard deviation9.120491496
Coefficient of variation (CV)0.2981797122
Kurtosis3.385791514
Mean30.58723019
Median Absolute Deviation (MAD)5.361067658
Skewness1.46504907
Sum81239.6834
Variance83.18336512
MonotonicityNot monotonic
2022-09-20T22:38:34.407119image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.0283203138
 
1.4%
38.0082179937
 
1.3%
27.1201777834
 
1.2%
18.9419444434
 
1.2%
33.7297979832
 
1.1%
29.2861700126
 
0.9%
29.5316110125
 
0.9%
34.0273755224
 
0.9%
32.1159320523
 
0.8%
24.9636734721
 
0.8%
Other values (157)2362
84.5%
(Missing)140
 
5.0%
ValueCountFrequency (%)
14.564268212
 
0.1%
14.921840910
0.4%
17.4320571318
0.6%
18.075298441
 
< 0.1%
18.2206122421
0.8%
ValueCountFrequency (%)
79.080875054
 
0.1%
66.0778808619
0.7%
65.2197265615
0.5%
62.3471907317
0.6%
56.638183593
 
0.1%

sr_ht_cm
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)0.6%
Missing121
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean170.1343306
Minimum152.3999177
Maximum190.4998971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:34.656655image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum152.3999177
5-th percentile154.9399163
Q1162.5599122
median170.1799081
Q3177.799904
95-th percentile185.4198999
Maximum190.4998971
Range38.09997943
Interquartile range (IQR)15.23999177

Descriptive statistics

Standard deviation9.398775173
Coefficient of variation (CV)0.05524326067
Kurtosis-0.8280544195
Mean170.1343306
Median Absolute Deviation (MAD)7.619995885
Skewness-0.01247637876
Sum455109.3342
Variance88.33697475
MonotonicityNot monotonic
2022-09-20T22:38:34.736007image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
162.5599122324
11.6%
177.799904286
10.2%
170.1799081273
9.8%
172.7199067230
8.2%
160.0199136226
8.1%
167.6399095215
7.7%
180.3399026198
7.1%
175.2599054198
7.1%
182.8799012151
 
5.4%
154.9399163140
 
5.0%
Other values (6)434
15.5%
ValueCountFrequency (%)
152.3999177104
 
3.7%
154.9399163140
5.0%
157.47991551
 
1.8%
160.0199136226
8.1%
162.5599122324
11.6%
ValueCountFrequency (%)
190.499897134
 
1.2%
187.959898561
 
2.2%
185.419899963
 
2.3%
182.8799012151
5.4%
180.3399026198
7.1%

bclinpt02_kg
Real number (ℝ≥0)

MISSING

Distinct112
Distinct (%)4.1%
Missing70
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean88.59203244
Minimum42.18452327
Maximum209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:34.840909image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum42.18452327
5-th percentile54.43164293
Q170.30753878
median86.18343464
Q3101.1521364
95-th percentile133.8111222
Maximum209
Range166.8154767
Interquartile range (IQR)30.84459766

Descriptive statistics

Standard deviation26.3288278
Coefficient of variation (CV)0.297191825
Kurtosis1.496412963
Mean88.59203244
Median Absolute Deviation (MAD)15.87589585
Skewness1.012294379
Sum241501.8804
Variance693.2071732
MonotonicityNot monotonic
2022-09-20T22:38:34.948980image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.30753878113
 
4.0%
90.7194048881
 
2.9%
72.575523964
 
2.3%
56.6996280562
 
2.2%
86.1834346462
 
2.2%
61.2355982959
 
2.1%
95.2553751257
 
2.0%
73.9363149856
 
2.0%
92.0801959555
 
2.0%
113.399256154
 
1.9%
Other values (102)2063
73.8%
(Missing)70
 
2.5%
ValueCountFrequency (%)
42.184523272
 
0.1%
43.9989113734
1.2%
45.813299462
 
0.1%
48.0812845918
0.6%
48.5348816110
 
0.4%
ValueCountFrequency (%)
2094
 
0.1%
174.634854419
0.7%
172.366869315
0.5%
170.552481221
0.8%
161.480540713
0.5%

weight_diff
Real number (ℝ)

MISSING

Distinct160
Distinct (%)6.0%
Missing148
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean-1.36926234
Minimum-30.49641658
Maximum16.79025674
Zeros0
Zeros (%)0.0%
Negative1732
Negative (%)61.9%
Memory size22.0 KiB
2022-09-20T22:38:35.060557image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-30.49641658
5-th percentile-9.424476095
Q1-2.156490973
median-0.3379751429
Q30.2355982945
95-th percentile2.729837612
Maximum16.79025674
Range47.28667332
Interquartile range (IQR)2.392089268

Descriptive statistics

Standard deviation3.872658714
Coefficient of variation (CV)-2.828281039
Kurtosis15.54949346
Mean-1.36926234
Median Absolute Deviation (MAD)1.057380024
Skewness-2.603221288
Sum-3625.806677
Variance14.99748551
MonotonicityNot monotonic
2022-09-20T22:38:35.172890image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.307538782540
 
1.4%
0.235598294539
 
1.4%
-0.0636850222337
 
1.3%
-0.178445069436
 
1.3%
0.719404880736
 
1.3%
-0.300371949635
 
1.3%
0.24603102633
 
1.2%
-0.187789168131
 
1.1%
-0.0845504853522
 
0.8%
-1.82699809521
 
0.8%
Other values (150)2318
82.9%
(Missing)148
 
5.3%
ValueCountFrequency (%)
-30.496416587
0.3%
-25.198221911
0.4%
-16.3014605817
0.6%
-11.6331307315
0.5%
-11.2284314617
0.6%
ValueCountFrequency (%)
16.790256743
 
0.1%
10.265807864
 
0.1%
9.37947927120
0.7%
5.69853941814
0.5%
4.78091263719
0.7%

height_diff
Real number (ℝ)

MISSING

Distinct64
Distinct (%)2.5%
Missing218
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean0.2564558297
Minimum-27.98008641
Maximum24.33990262
Zeros0
Zeros (%)0.0%
Negative1186
Negative (%)42.4%
Memory size22.0 KiB
2022-09-20T22:38:35.285019image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-27.98008641
5-th percentile-2.440087782
Q1-0.3600905256
median0.01991358925
Q30.4949015878
95-th percentile4.879901245
Maximum24.33990262
Range52.31998903
Interquartile range (IQR)0.8549921133

Descriptive statistics

Standard deviation3.907351803
Coefficient of variation (CV)15.23596406
Kurtosis27.87858264
Mean0.2564558297
Median Absolute Deviation (MAD)0.399986284
Skewness0.560775481
Sum661.1431289
Variance15.26739811
MonotonicityNot monotonic
2022-09-20T22:38:35.405891image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4400877824189
 
6.8%
0.1799081028172
 
6.2%
-0.2000960119155
 
5.5%
0.01991358925139
 
5.0%
0.3399026165135
 
4.8%
-0.3600905256112
 
4.0%
-0.120098755198
 
3.5%
0.259905359797
 
3.5%
0.0999108460590
 
3.2%
-0.280093268782
 
2.9%
Other values (54)1309
46.8%
(Missing)218
 
7.8%
ValueCountFrequency (%)
-27.9800864114
0.5%
-8.98008641118
0.6%
-7.60008229620
0.7%
-6.28009326918
0.6%
-4.3600905261
 
< 0.1%
ValueCountFrequency (%)
24.3399026218
0.6%
20.179908120
0.7%
7.79990398817
0.6%
7.63990947414
0.5%
6.01991358920
0.7%

sr_med14
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.3722627737
Minimum0
Maximum1
Zeros1720
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:35.499110image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4834961406
Coefficient of variation (CV)1.298803358
Kurtosis-1.721653351
Mean0.3722627737
Median Absolute Deviation (MAD)0
Skewness0.5287758164
Sum1020
Variance0.233768518
MonotonicityNot monotonic
2022-09-20T22:38:35.575897image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01720
61.5%
11020
36.5%
(Missing)56
 
2.0%
ValueCountFrequency (%)
01720
61.5%
11020
36.5%
ValueCountFrequency (%)
11020
36.5%
01720
61.5%

sr_med13
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.2277372263
Minimum0
Maximum1
Zeros2116
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:35.650608image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4194486771
Coefficient of variation (CV)1.841809896
Kurtosis-0.3124592364
Mean0.2277372263
Median Absolute Deviation (MAD)0
Skewness1.299141782
Sum624
Variance0.1759371927
MonotonicityNot monotonic
2022-09-20T22:38:35.725254image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02116
75.7%
1624
 
22.3%
(Missing)56
 
2.0%
ValueCountFrequency (%)
02116
75.7%
1624
 
22.3%
ValueCountFrequency (%)
1624
 
22.3%
02116
75.7%

sr_med12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.07408759124
Minimum0
Maximum1
Zeros2537
Zeros (%)90.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:35.804158image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2619611903
Coefficient of variation (CV)3.535830844
Kurtosis8.595418753
Mean0.07408759124
Median Absolute Deviation (MAD)0
Skewness3.254096688
Sum203
Variance0.0686236652
MonotonicityNot monotonic
2022-09-20T22:38:35.877903image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02537
90.7%
1203
 
7.3%
(Missing)56
 
2.0%
ValueCountFrequency (%)
02537
90.7%
1203
 
7.3%
ValueCountFrequency (%)
1203
 
7.3%
02537
90.7%

sr_med11
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.2952554745
Minimum0
Maximum1
Zeros1931
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:35.953114image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4562407791
Coefficient of variation (CV)1.54524071
Kurtosis-1.194137674
Mean0.2952554745
Median Absolute Deviation (MAD)0
Skewness0.898183997
Sum809
Variance0.2081556485
MonotonicityNot monotonic
2022-09-20T22:38:36.027866image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01931
69.1%
1809
28.9%
(Missing)56
 
2.0%
ValueCountFrequency (%)
01931
69.1%
1809
28.9%
ValueCountFrequency (%)
1809
28.9%
01931
69.1%

sr_med10
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.01459854015
Minimum0
Maximum1
Zeros2700
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:36.256398image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1199611389
Coefficient of variation (CV)8.217338014
Kurtosis63.63306321
Mean0.01459854015
Median Absolute Deviation (MAD)0
Skewness8.098556429
Sum40
Variance0.01439067484
MonotonicityNot monotonic
2022-09-20T22:38:36.327620image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02700
96.6%
140
 
1.4%
(Missing)56
 
2.0%
ValueCountFrequency (%)
02700
96.6%
140
 
1.4%
ValueCountFrequency (%)
140
 
1.4%
02700
96.6%

sr_med9
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.01167883212
Minimum0
Maximum1
Zeros2708
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:36.402921image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1074553447
Coefficient of variation (CV)9.200863889
Kurtosis80.78635086
Mean0.01167883212
Median Absolute Deviation (MAD)0
Skewness9.095459485
Sum32
Variance0.0115466511
MonotonicityNot monotonic
2022-09-20T22:38:36.476493image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02708
96.9%
132
 
1.1%
(Missing)56
 
2.0%
ValueCountFrequency (%)
02708
96.9%
132
 
1.1%
ValueCountFrequency (%)
132
 
1.1%
02708
96.9%

sr_med8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.007664233577
Minimum0
Maximum1
Zeros2719
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:36.550276image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08722539677
Coefficient of variation (CV)11.38083748
Kurtosis125.7153934
Mean0.007664233577
Median Absolute Deviation (MAD)0
Skewness11.29706293
Sum21
Variance0.007608269841
MonotonicityNot monotonic
2022-09-20T22:38:36.622431image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02719
97.2%
121
 
0.8%
(Missing)56
 
2.0%
ValueCountFrequency (%)
02719
97.2%
121
 
0.8%
ValueCountFrequency (%)
121
 
0.8%
02719
97.2%

sr_med7
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.0996350365
Minimum0
Maximum1
Zeros2467
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:36.696544image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2995674349
Coefficient of variation (CV)3.006647515
Kurtosis5.158888962
Mean0.0996350365
Median Absolute Deviation (MAD)0
Skewness2.674906331
Sum273
Variance0.08974064806
MonotonicityNot monotonic
2022-09-20T22:38:36.769011image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02467
88.2%
1273
 
9.8%
(Missing)56
 
2.0%
ValueCountFrequency (%)
02467
88.2%
1273
 
9.8%
ValueCountFrequency (%)
1273
 
9.8%
02467
88.2%

sr_med6
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.1423357664
Minimum0
Maximum1
Zeros2350
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:36.840773image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3494579598
Coefficient of variation (CV)2.455166179
Kurtosis2.197795983
Mean0.1423357664
Median Absolute Deviation (MAD)0
Skewness2.048460955
Sum390
Variance0.1221208657
MonotonicityNot monotonic
2022-09-20T22:38:36.920321image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02350
84.0%
1390
 
13.9%
(Missing)56
 
2.0%
ValueCountFrequency (%)
02350
84.0%
1390
 
13.9%
ValueCountFrequency (%)
1390
 
13.9%
02350
84.0%

sr_med5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.02700729927
Minimum0
Maximum1
Zeros2666
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:36.994045image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1621342007
Coefficient of variation (CV)6.003347431
Kurtosis32.11554803
Mean0.02700729927
Median Absolute Deviation (MAD)0
Skewness5.838844624
Sum74
Variance0.02628749903
MonotonicityNot monotonic
2022-09-20T22:38:37.064667image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02666
95.4%
174
 
2.6%
(Missing)56
 
2.0%
ValueCountFrequency (%)
02666
95.4%
174
 
2.6%
ValueCountFrequency (%)
174
 
2.6%
02666
95.4%

sr_med4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.4291970803
Minimum0
Maximum1
Zeros1564
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:37.138267image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4950519069
Coefficient of variation (CV)1.153437266
Kurtosis-1.919461765
Mean0.4291970803
Median Absolute Deviation (MAD)0
Skewness0.2862513504
Sum1176
Variance0.2450763905
MonotonicityNot monotonic
2022-09-20T22:38:37.219470image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01564
55.9%
11176
42.1%
(Missing)56
 
2.0%
ValueCountFrequency (%)
01564
55.9%
11176
42.1%
ValueCountFrequency (%)
11176
42.1%
01564
55.9%

sr_med3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.2927007299
Minimum0
Maximum1
Zeros1938
Zeros (%)69.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:37.298548image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.455085264
Coefficient of variation (CV)1.554780079
Kurtosis-1.169656796
Mean0.2927007299
Median Absolute Deviation (MAD)0
Skewness0.9117003355
Sum802
Variance0.2071025975
MonotonicityNot monotonic
2022-09-20T22:38:37.372351image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01938
69.3%
1802
28.7%
(Missing)56
 
2.0%
ValueCountFrequency (%)
01938
69.3%
1802
28.7%
ValueCountFrequency (%)
1802
28.7%
01938
69.3%

sr_med2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.2354014599
Minimum0
Maximum1
Zeros2095
Zeros (%)74.9%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:37.446525image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4243269087
Coefficient of variation (CV)1.802567023
Kurtosis-0.4426805059
Mean0.2354014599
Median Absolute Deviation (MAD)0
Skewness1.248055749
Sum645
Variance0.1800533254
MonotonicityNot monotonic
2022-09-20T22:38:37.520781image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02095
74.9%
1645
 
23.1%
(Missing)56
 
2.0%
ValueCountFrequency (%)
02095
74.9%
1645
 
23.1%
ValueCountFrequency (%)
1645
 
23.1%
02095
74.9%

sr_med1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.7339416058
Minimum0
Maximum1
Zeros729
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:37.597406image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4419758115
Coefficient of variation (CV)0.6021947905
Kurtosis-0.8783333933
Mean0.7339416058
Median Absolute Deviation (MAD)0
Skewness-1.059390513
Sum2011
Variance0.195342618
MonotonicityNot monotonic
2022-09-20T22:38:37.671548image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
12011
71.9%
0729
 
26.1%
(Missing)56
 
2.0%
ValueCountFrequency (%)
0729
 
26.1%
12011
71.9%
ValueCountFrequency (%)
12011
71.9%
0729
 
26.1%

mc_med14
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.4845474614
Minimum0
Maximum1
Zeros1401
Zeros (%)50.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:37.750202image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4998531228
Coefficient of variation (CV)1.031587538
Kurtosis-1.997642105
Mean0.4845474614
Median Absolute Deviation (MAD)0
Skewness0.06187384581
Sum1317
Variance0.2498531444
MonotonicityNot monotonic
2022-09-20T22:38:37.828040image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01401
50.1%
11317
47.1%
(Missing)78
 
2.8%
ValueCountFrequency (%)
01401
50.1%
11317
47.1%
ValueCountFrequency (%)
11317
47.1%
01401
50.1%

mc_med10
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.01250919794
Minimum0
Maximum1
Zeros2684
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:38.067764image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.111163233
Coefficient of variation (CV)8.886519623
Kurtosis75.09412193
Mean0.01250919794
Median Absolute Deviation (MAD)0
Skewness8.777178679
Sum34
Variance0.01235726436
MonotonicityNot monotonic
2022-09-20T22:38:38.137384image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02684
96.0%
134
 
1.2%
(Missing)78
 
2.8%
ValueCountFrequency (%)
02684
96.0%
134
 
1.2%
ValueCountFrequency (%)
134
 
1.2%
02684
96.0%

mc_med9
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros2718
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:38.212075image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2022-09-20T22:38:38.280311image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
02718
97.2%
(Missing)78
 
2.8%
ValueCountFrequency (%)
02718
97.2%
ValueCountFrequency (%)
02718
97.2%

mc_med8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.01471670346
Minimum0
Maximum1
Zeros2678
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:38.352700image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1204386105
Coefficient of variation (CV)8.183803587
Kurtosis63.08313042
Mean0.01471670346
Median Absolute Deviation (MAD)0
Skewness8.064534219
Sum40
Variance0.01450545891
MonotonicityNot monotonic
2022-09-20T22:38:38.433264image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02678
95.8%
140
 
1.4%
(Missing)78
 
2.8%
ValueCountFrequency (%)
02678
95.8%
140
 
1.4%
ValueCountFrequency (%)
140
 
1.4%
02678
95.8%

mc_med7
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.07799852833
Minimum0
Maximum1
Zeros2506
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:38.509269image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2682186167
Coefficient of variation (CV)3.438765095
Kurtosis7.922124318
Mean0.07799852833
Median Absolute Deviation (MAD)0
Skewness3.149015002
Sum212
Variance0.07194122635
MonotonicityNot monotonic
2022-09-20T22:38:38.580158image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02506
89.6%
1212
 
7.6%
(Missing)78
 
2.8%
ValueCountFrequency (%)
02506
89.6%
1212
 
7.6%
ValueCountFrequency (%)
1212
 
7.6%
02506
89.6%

mc_med6
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.1442236939
Minimum0
Maximum1
Zeros2326
Zeros (%)83.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:38.652088image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3513810557
Coefficient of variation (CV)2.436361503
Kurtosis2.108286208
Mean0.1442236939
Median Absolute Deviation (MAD)0
Skewness2.026508179
Sum392
Variance0.1234686463
MonotonicityNot monotonic
2022-09-20T22:38:38.722454image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02326
83.2%
1392
 
14.0%
(Missing)78
 
2.8%
ValueCountFrequency (%)
02326
83.2%
1392
 
14.0%
ValueCountFrequency (%)
1392
 
14.0%
02326
83.2%

mc_med5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.02538631347
Minimum0
Maximum1
Zeros2649
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:38.796988image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.157324362
Coefficient of variation (CV)6.197211823
Kurtosis34.48296038
Mean0.02538631347
Median Absolute Deviation (MAD)0
Skewness6.038011853
Sum69
Variance0.02475095487
MonotonicityNot monotonic
2022-09-20T22:38:38.868263image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02649
94.7%
169
 
2.5%
(Missing)78
 
2.8%
ValueCountFrequency (%)
02649
94.7%
169
 
2.5%
ValueCountFrequency (%)
169
 
2.5%
02649
94.7%

mc_med4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.3951434879
Minimum0
Maximum1
Zeros1644
Zeros (%)58.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:38.941395image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4889714495
Coefficient of variation (CV)1.237452886
Kurtosis-1.817123415
Mean0.3951434879
Median Absolute Deviation (MAD)0
Skewness0.4292018529
Sum1074
Variance0.2390930784
MonotonicityNot monotonic
2022-09-20T22:38:39.016431image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01644
58.8%
11074
38.4%
(Missing)78
 
2.8%
ValueCountFrequency (%)
01644
58.8%
11074
38.4%
ValueCountFrequency (%)
11074
38.4%
01644
58.8%

mc_med3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.2549668874
Minimum0
Maximum1
Zeros2025
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:39.092452image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4359228012
Coefficient of variation (CV)1.709723194
Kurtosis-0.7348442766
Mean0.2549668874
Median Absolute Deviation (MAD)0
Skewness1.125031995
Sum693
Variance0.1900286886
MonotonicityNot monotonic
2022-09-20T22:38:39.164760image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02025
72.4%
1693
 
24.8%
(Missing)78
 
2.8%
ValueCountFrequency (%)
02025
72.4%
1693
 
24.8%
ValueCountFrequency (%)
1693
 
24.8%
02025
72.4%

mc_med2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.2869757174
Minimum0
Maximum1
Zeros1938
Zeros (%)69.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:39.241184image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4524333833
Coefficient of variation (CV)1.576556328
Kurtosis-1.112747084
Mean0.2869757174
Median Absolute Deviation (MAD)0
Skewness0.9423758575
Sum780
Variance0.2046959663
MonotonicityNot monotonic
2022-09-20T22:38:39.316397image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01938
69.3%
1780
27.9%
(Missing)78
 
2.8%
ValueCountFrequency (%)
01938
69.3%
1780
27.9%
ValueCountFrequency (%)
1780
27.9%
01938
69.3%

mc_med1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.7836644592
Minimum0
Maximum1
Zeros588
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:39.398871image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4118214082
Coefficient of variation (CV)0.5255073181
Kurtosis-0.09947087994
Mean0.7836644592
Median Absolute Deviation (MAD)0
Skewness-1.378623537
Sum2130
Variance0.1695968723
MonotonicityNot monotonic
2022-09-20T22:38:39.476245image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
12130
76.2%
0588
 
21.0%
(Missing)78
 
2.8%
ValueCountFrequency (%)
0588
 
21.0%
12130
76.2%
ValueCountFrequency (%)
12130
76.2%
0588
 
21.0%

bclinpt22_1
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.1%
Missing7
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.5518106848
Minimum0
Maximum1
Zeros1250
Zeros (%)44.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:39.550591image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4973975876
Coefficient of variation (CV)0.9013917295
Kurtosis-1.957942091
Mean0.5518106848
Median Absolute Deviation (MAD)0
Skewness-0.2084765442
Sum1539
Variance0.2474043601
MonotonicityNot monotonic
2022-09-20T22:38:39.624787image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11539
55.0%
01250
44.7%
(Missing)7
 
0.3%
ValueCountFrequency (%)
01250
44.7%
11539
55.0%
ValueCountFrequency (%)
11539
55.0%
01250
44.7%

sr_dc
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.07226277372
Minimum0
Maximum1
Zeros2542
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:39.851653image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2589697698
Coefficient of variation (CV)3.583723077
Kurtosis8.934760223
Mean0.07226277372
Median Absolute Deviation (MAD)0
Skewness3.305788715
Sum198
Variance0.06706534166
MonotonicityNot monotonic
2022-09-20T22:38:39.929281image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02542
90.9%
1198
 
7.1%
(Missing)56
 
2.0%
ValueCountFrequency (%)
02542
90.9%
1198
 
7.1%
ValueCountFrequency (%)
1198
 
7.1%
02542
90.9%

sr_ab
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.2277372263
Minimum0
Maximum1
Zeros2116
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:40.008935image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4194486771
Coefficient of variation (CV)1.841809896
Kurtosis-0.3124592364
Mean0.2277372263
Median Absolute Deviation (MAD)0
Skewness1.299141782
Sum624
Variance0.1759371927
MonotonicityNot monotonic
2022-09-20T22:38:40.083477image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02116
75.7%
1624
 
22.3%
(Missing)56
 
2.0%
ValueCountFrequency (%)
02116
75.7%
1624
 
22.3%
ValueCountFrequency (%)
1624
 
22.3%
02116
75.7%

sr_ba
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.9368613139
Minimum0
Maximum1
Zeros173
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:40.158825image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2432566314
Coefficient of variation (CV)0.2596506311
Kurtosis10.92766392
Mean0.9368613139
Median Absolute Deviation (MAD)0
Skewness-3.594396758
Sum2567
Variance0.05917378872
MonotonicityNot monotonic
2022-09-20T22:38:40.231890image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
12567
91.8%
0173
 
6.2%
(Missing)56
 
2.0%
ValueCountFrequency (%)
0173
 
6.2%
12567
91.8%
ValueCountFrequency (%)
12567
91.8%
0173
 
6.2%

sr_is
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.5784671533
Minimum0
Maximum1
Zeros1155
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:40.306257image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4938946569
Coefficient of variation (CV)0.8537989652
Kurtosis-1.900275906
Mean0.5784671533
Median Absolute Deviation (MAD)0
Skewness-0.3179806435
Sum1585
Variance0.2439319321
MonotonicityNot monotonic
2022-09-20T22:38:40.380921image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11585
56.7%
01155
41.3%
(Missing)56
 
2.0%
ValueCountFrequency (%)
01155
41.3%
11585
56.7%
ValueCountFrequency (%)
11585
56.7%
01155
41.3%

sr_ss
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.3010948905
Minimum0
Maximum1
Zeros1915
Zeros (%)68.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:40.464207image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4588175969
Coefficient of variation (CV)1.523830564
Kurtosis-1.248065826
Mean0.3010948905
Median Absolute Deviation (MAD)0
Skewness0.8676668162
Sum825
Variance0.2105135872
MonotonicityNot monotonic
2022-09-20T22:38:40.544336image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01915
68.5%
1825
29.5%
(Missing)56
 
2.0%
ValueCountFrequency (%)
01915
68.5%
1825
29.5%
ValueCountFrequency (%)
1825
29.5%
01915
68.5%

sr_ac
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing56
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.8193430657
Minimum0
Maximum1
Zeros495
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:40.620769image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3848039085
Coefficient of variation (CV)0.4696493137
Kurtosis0.7594175858
Mean0.8193430657
Median Absolute Deviation (MAD)0
Skewness-1.660982781
Sum2245
Variance0.148074048
MonotonicityNot monotonic
2022-09-20T22:38:40.690975image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
12245
80.3%
0495
 
17.7%
(Missing)56
 
2.0%
ValueCountFrequency (%)
0495
 
17.7%
12245
80.3%
ValueCountFrequency (%)
12245
80.3%
0495
 
17.7%

mc_dc
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.03642384106
Minimum0
Maximum1
Zeros2619
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:40.762078image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1873767928
Coefficient of variation (CV)5.144344674
Kurtosis22.53598842
Mean0.03642384106
Median Absolute Deviation (MAD)0
Skewness4.951707401
Sum99
Variance0.03511006247
MonotonicityNot monotonic
2022-09-20T22:38:40.835671image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02619
93.7%
199
 
3.5%
(Missing)78
 
2.8%
ValueCountFrequency (%)
02619
93.7%
199
 
3.5%
ValueCountFrequency (%)
199
 
3.5%
02619
93.7%

mc_ab
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.1158940397
Minimum0
Maximum1
Zeros2403
Zeros (%)85.9%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:40.910697image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3201567163
Coefficient of variation (CV)2.762495095
Kurtosis3.768793722
Mean0.1158940397
Median Absolute Deviation (MAD)0
Skewness2.401254058
Sum315
Variance0.102500323
MonotonicityNot monotonic
2022-09-20T22:38:40.981398image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02403
85.9%
1315
 
11.3%
(Missing)78
 
2.8%
ValueCountFrequency (%)
02403
85.9%
1315
 
11.3%
ValueCountFrequency (%)
1315
 
11.3%
02403
85.9%

mc_ba
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing60
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.9546783626
Minimum0
Maximum1
Zeros124
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:41.053904image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2080466452
Coefficient of variation (CV)0.2179232853
Kurtosis17.14549863
Mean0.9546783626
Median Absolute Deviation (MAD)0
Skewness-4.374124587
Sum2612
Variance0.04328340657
MonotonicityNot monotonic
2022-09-20T22:38:41.125766image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
12612
93.4%
0124
 
4.4%
(Missing)60
 
2.1%
ValueCountFrequency (%)
0124
 
4.4%
12612
93.4%
ValueCountFrequency (%)
12612
93.4%
0124
 
4.4%

mc_is
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing60
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.6100146199
Minimum0
Maximum1
Zeros1067
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:41.199363image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.487835798
Coefficient of variation (CV)0.7997116496
Kurtosis-1.797587542
Mean0.6100146199
Median Absolute Deviation (MAD)0
Skewness-0.451361295
Sum1669
Variance0.2379837658
MonotonicityNot monotonic
2022-09-20T22:38:41.273639image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11669
59.7%
01067
38.2%
(Missing)60
 
2.1%
ValueCountFrequency (%)
01067
38.2%
11669
59.7%
ValueCountFrequency (%)
11669
59.7%
01067
38.2%

mc_ss
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.2174392936
Minimum0
Maximum1
Zeros2127
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:41.349348image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.41257978
Coefficient of variation (CV)1.897448125
Kurtosis-0.121175197
Mean0.2174392936
Median Absolute Deviation (MAD)0
Skewness1.370735025
Sum591
Variance0.1702220749
MonotonicityNot monotonic
2022-09-20T22:38:41.423135image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02127
76.1%
1591
 
21.1%
(Missing)78
 
2.8%
ValueCountFrequency (%)
02127
76.1%
1591
 
21.1%
ValueCountFrequency (%)
1591
 
21.1%
02127
76.1%

mc_ac
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing78
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.7814569536
Minimum0
Maximum1
Zeros594
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:41.659153image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4133338119
Coefficient of variation (CV)0.5289271661
Kurtosis-0.1426369718
Mean0.7814569536
Median Absolute Deviation (MAD)0
Skewness-1.362889771
Sum2124
Variance0.1708448401
MonotonicityNot monotonic
2022-09-20T22:38:41.734680image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
12124
76.0%
0594
 
21.2%
(Missing)78
 
2.8%
ValueCountFrequency (%)
0594
 
21.2%
12124
76.0%
ValueCountFrequency (%)
12124
76.0%
0594
 
21.2%

Assmnt
Real number (ℝ≥0)

Distinct21
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.72424893
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:41.820889image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median11
Q316
95-th percentile21
Maximum21
Range20
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.123896591
Coefficient of variation (CV)0.5710326786
Kurtosis-1.177191075
Mean10.72424893
Median Absolute Deviation (MAD)5
Skewness0.04133678838
Sum29985
Variance37.50210945
MonotonicityNot monotonic
2022-09-20T22:38:41.919283image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1188
 
6.7%
21153
 
5.5%
11143
 
5.1%
10141
 
5.0%
9137
 
4.9%
3137
 
4.9%
14136
 
4.9%
13134
 
4.8%
12133
 
4.8%
15132
 
4.7%
Other values (11)1362
48.7%
ValueCountFrequency (%)
1188
6.7%
2124
4.4%
3137
4.9%
4131
4.7%
5130
4.6%
ValueCountFrequency (%)
21153
5.5%
20113
4.0%
19117
4.2%
18120
4.3%
17118
4.2%

Site
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
UNC
1228 
Pitt
789 
Duke
675 
ENH
 
104

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPitt
2nd rowPitt
3rd rowPitt
4th rowPitt
5th rowPitt

Common Values

ValueCountFrequency (%)
UNC1228
43.9%
Pitt789
28.2%
Duke675
24.1%
ENH104
 
3.7%

Category Frequency Plot

2022-09-20T22:38:42.034376image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Elig01
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing2611
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:42.107310image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum185
Variance0
MonotonicityIncreasing
2022-09-20T22:38:42.174883image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1185
 
6.6%
(Missing)2611
93.4%
ValueCountFrequency (%)
1185
6.6%
ValueCountFrequency (%)
1185
6.6%

Elig02
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)1.8%
Missing2627
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean3.289940828
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:42.247395image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.370736195
Coefficient of variation (CV)1.024558304
Kurtosis-0.7551654991
Mean3.289940828
Median Absolute Deviation (MAD)1
Skewness1.087871056
Sum556
Variance11.3618625
MonotonicityNot monotonic
2022-09-20T22:38:42.319578image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
183
 
3.0%
943
 
1.5%
243
 
1.5%
(Missing)2627
94.0%
ValueCountFrequency (%)
183
3.0%
243
1.5%
943
1.5%
ValueCountFrequency (%)
943
1.5%
243
1.5%
183
3.0%

Elig03
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)2.3%
Missing2664
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean3.916666667
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:42.397561image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.80245334
Coefficient of variation (CV)0.9708391505
Kurtosis-1.655398912
Mean3.916666667
Median Absolute Deviation (MAD)0
Skewness0.5955975629
Sum517
Variance14.4586514
MonotonicityNot monotonic
2022-09-20T22:38:42.472622image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
176
 
2.7%
947
 
1.7%
29
 
0.3%
(Missing)2664
95.3%
ValueCountFrequency (%)
176
2.7%
29
 
0.3%
947
1.7%
ValueCountFrequency (%)
947
1.7%
29
 
0.3%
176
2.7%

Elig04
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing2611
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:42.553175image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum185
Variance0
MonotonicityIncreasing
2022-09-20T22:38:42.622288image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1185
 
6.6%
(Missing)2611
93.4%
ValueCountFrequency (%)
1185
6.6%
ValueCountFrequency (%)
1185
6.6%

Elig05
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing2611
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:42.695203image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum185
Variance0
MonotonicityIncreasing
2022-09-20T22:38:42.763109image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1185
 
6.6%
(Missing)2611
93.4%
ValueCountFrequency (%)
1185
6.6%
ValueCountFrequency (%)
1185
6.6%

Elig06
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing2611
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:42.836827image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum185
Variance0
MonotonicityIncreasing
2022-09-20T22:38:42.906940image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1185
 
6.6%
(Missing)2611
93.4%
ValueCountFrequency (%)
1185
6.6%
ValueCountFrequency (%)
1185
6.6%

Elig07
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing2612
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:42.977778image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum184
Variance0
MonotonicityIncreasing
2022-09-20T22:38:43.054464image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1184
 
6.6%
(Missing)2612
93.4%
ValueCountFrequency (%)
1184
6.6%
ValueCountFrequency (%)
1184
6.6%

Elig08
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing2612
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:43.127350image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum184
Variance0
MonotonicityIncreasing
2022-09-20T22:38:43.195462image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1184
 
6.6%
(Missing)2612
93.4%
ValueCountFrequency (%)
1184
6.6%
ValueCountFrequency (%)
1184
6.6%

Elig10
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)1.1%
Missing2611
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean1.016216216
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:43.423398image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.126648936
Coefficient of variation (CV)0.1246279424
Kurtosis58.27863243
Mean1.016216216
Median Absolute Deviation (MAD)0
Skewness7.72325538
Sum188
Variance0.016039953
MonotonicityNot monotonic
2022-09-20T22:38:43.496432image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1182
 
6.5%
23
 
0.1%
(Missing)2611
93.4%
ValueCountFrequency (%)
1182
6.5%
23
 
0.1%
ValueCountFrequency (%)
23
 
0.1%
1182
6.5%

Elig11
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)1.1%
Missing2611
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean1.005405405
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:43.570950image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07352146221
Coefficient of variation (CV)0.07312618553
Kurtosis185
Mean1.005405405
Median Absolute Deviation (MAD)0
Skewness13.60147051
Sum186
Variance0.005405405405
MonotonicityNot monotonic
2022-09-20T22:38:43.645211image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1184
 
6.6%
21
 
< 0.1%
(Missing)2611
93.4%
ValueCountFrequency (%)
1184
6.6%
21
 
< 0.1%
ValueCountFrequency (%)
21
 
< 0.1%
1184
6.6%

Elig12
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)1.1%
Missing2611
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean1.005405405
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:43.722097image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07352146221
Coefficient of variation (CV)0.07312618553
Kurtosis185
Mean1.005405405
Median Absolute Deviation (MAD)0
Skewness13.60147051
Sum186
Variance0.005405405405
MonotonicityNot monotonic
2022-09-20T22:38:43.796195image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1184
 
6.6%
21
 
< 0.1%
(Missing)2611
93.4%
ValueCountFrequency (%)
1184
6.6%
21
 
< 0.1%
ValueCountFrequency (%)
21
 
< 0.1%
1184
6.6%

Elig13
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing2611
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:43.873673image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum185
Variance0
MonotonicityIncreasing
2022-09-20T22:38:43.944089image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1185
 
6.6%
(Missing)2611
93.4%
ValueCountFrequency (%)
1185
6.6%
ValueCountFrequency (%)
1185
6.6%

bl_pt_health_conditions_beside_COPD
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2610
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean0.8387096774
Minimum0
Maximum1
Zeros30
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:44.019198image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3687912346
Coefficient of variation (CV)0.4397126259
Kurtosis1.463438008
Mean0.8387096774
Median Absolute Deviation (MAD)0
Skewness-1.856829947
Sum156
Variance0.1360069747
MonotonicityNot monotonic
2022-09-20T22:38:44.093832image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1156
 
5.6%
030
 
1.1%
(Missing)2610
93.3%
ValueCountFrequency (%)
030
 
1.1%
1156
5.6%
ValueCountFrequency (%)
1156
5.6%
030
 
1.1%

bl_pt_stroke_transient_ischemic_attack
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2620
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.1079545455
Minimum0
Maximum1
Zeros157
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:44.168644image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3112083697
Coefficient of variation (CV)2.882772266
Kurtosis4.546205656
Mean0.1079545455
Median Absolute Deviation (MAD)0
Skewness2.548464391
Sum19
Variance0.09685064935
MonotonicityNot monotonic
2022-09-20T22:38:44.244159image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0157
 
5.6%
119
 
0.7%
(Missing)2620
93.7%
ValueCountFrequency (%)
0157
5.6%
119
 
0.7%
ValueCountFrequency (%)
119
 
0.7%
0157
5.6%

bl_pt_shortness_of_breath_duration
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)13.9%
Missing2681
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean11.47826087
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:44.326873image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q314
95-th percentile39
Maximum90
Range89
Interquartile range (IQR)11

Descriptive statistics

Standard deviation17.0763753
Coefficient of variation (CV)1.487714515
Kurtosis11.90379583
Mean11.47826087
Median Absolute Deviation (MAD)4
Skewness3.37352151
Sum1320
Variance291.6025934
MonotonicityNot monotonic
2022-09-20T22:38:44.403199image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
723
 
0.8%
212
 
0.4%
312
 
0.4%
1412
 
0.4%
410
 
0.4%
18
 
0.3%
58
 
0.3%
305
 
0.2%
215
 
0.2%
105
 
0.2%
Other values (6)15
 
0.5%
(Missing)2681
95.9%
ValueCountFrequency (%)
18
0.3%
212
0.4%
312
0.4%
410
0.4%
58
0.3%
ValueCountFrequency (%)
903
0.1%
701
 
< 0.1%
602
 
0.1%
305
0.2%
215
0.2%

bl_pt_worse_cough_days
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)20.7%
Missing2704
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean11.27173913
Minimum0
Maximum90
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:44.486164image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q314
95-th percentile30
Maximum90
Range90
Interquartile range (IQR)10

Descriptive statistics

Standard deviation14.03222607
Coefficient of variation (CV)1.244903373
Kurtosis14.14560912
Mean11.27173913
Median Absolute Deviation (MAD)4
Skewness3.37468819
Sum1037
Variance196.9033684
MonotonicityNot monotonic
2022-09-20T22:38:44.575481image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
717
 
0.6%
1412
 
0.4%
311
 
0.4%
49
 
0.3%
306
 
0.2%
216
 
0.2%
56
 
0.2%
66
 
0.2%
15
 
0.2%
24
 
0.1%
Other values (9)10
 
0.4%
(Missing)2704
96.7%
ValueCountFrequency (%)
01
 
< 0.1%
15
0.2%
24
 
0.1%
311
0.4%
49
0.3%
ValueCountFrequency (%)
901
 
< 0.1%
701
 
< 0.1%
601
 
< 0.1%
306
0.2%
241
 
< 0.1%

bl_pt_increase_in_sputum_or_mucus_duration
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)15.5%
Missing2693
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean13.66990291
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:44.660386image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q314
95-th percentile39
Maximum90
Range89
Interquartile range (IQR)10

Descriptive statistics

Standard deviation18.38071685
Coefficient of variation (CV)1.344612099
Kurtosis9.852818846
Mean13.66990291
Median Absolute Deviation (MAD)4
Skewness3.032442431
Sum1408
Variance337.850752
MonotonicityNot monotonic
2022-09-20T22:38:44.736212image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
719
 
0.7%
1413
 
0.5%
313
 
0.5%
410
 
0.4%
308
 
0.3%
218
 
0.3%
56
 
0.2%
15
 
0.2%
25
 
0.2%
64
 
0.1%
Other values (6)12
 
0.4%
(Missing)2693
96.3%
ValueCountFrequency (%)
15
 
0.2%
25
 
0.2%
313
0.5%
410
0.4%
56
0.2%
ValueCountFrequency (%)
904
0.1%
601
 
< 0.1%
401
 
< 0.1%
308
0.3%
291
 
< 0.1%

bl_pt_fever_duration
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)40.7%
Missing2769
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean6.481481481
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:44.813500image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q37
95-th percentile21
Maximum30
Range29
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.355638185
Coefficient of variation (CV)1.134869891
Kurtosis3.370790037
Mean6.481481481
Median Absolute Deviation (MAD)2
Skewness1.946355788
Sum175
Variance54.10541311
MonotonicityNot monotonic
2022-09-20T22:38:44.889425image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
38
 
0.3%
14
 
0.1%
24
 
0.1%
142
 
0.1%
212
 
0.1%
72
 
0.1%
41
 
< 0.1%
301
 
< 0.1%
51
 
< 0.1%
61
 
< 0.1%
(Missing)2769
99.0%
ValueCountFrequency (%)
14
0.1%
24
0.1%
38
0.3%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
301
< 0.1%
212
0.1%
142
0.1%
101
< 0.1%
72
0.1%

bl_pt_breathing_faster_duration
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)18.4%
Missing2709
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean11.70114943
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:45.131394image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q314
95-th percentile30
Maximum90
Range89
Interquartile range (IQR)11

Descriptive statistics

Standard deviation17.75093508
Coefficient of variation (CV)1.517024904
Kurtosis11.865486
Mean11.70114943
Median Absolute Deviation (MAD)3
Skewness3.322108095
Sum1018
Variance315.0956963
MonotonicityNot monotonic
2022-09-20T22:38:45.205751image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
313
 
0.5%
711
 
0.4%
110
 
0.4%
148
 
0.3%
47
 
0.3%
57
 
0.3%
306
 
0.2%
26
 
0.2%
214
 
0.1%
83
 
0.1%
Other values (6)12
 
0.4%
(Missing)2709
96.9%
ValueCountFrequency (%)
110
0.4%
26
0.2%
313
0.5%
47
0.3%
57
0.3%
ValueCountFrequency (%)
903
0.1%
601
 
< 0.1%
306
0.2%
241
 
< 0.1%
214
0.1%

bl_pt_wheezing_duration
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)15.0%
Missing2676
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean10.40833333
Minimum0
Maximum90
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:45.286399image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median7
Q310
95-th percentile30
Maximum90
Range90
Interquartile range (IQR)7

Descriptive statistics

Standard deviation14.38866024
Coefficient of variation (CV)1.382417317
Kurtosis16.2416821
Mean10.40833333
Median Absolute Deviation (MAD)4
Skewness3.695248554
Sum1249
Variance207.0335434
MonotonicityNot monotonic
2022-09-20T22:38:45.365545image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
721
 
0.8%
319
 
0.7%
1411
 
0.4%
59
 
0.3%
29
 
0.3%
19
 
0.3%
107
 
0.3%
307
 
0.3%
67
 
0.3%
215
 
0.2%
Other values (8)16
 
0.6%
(Missing)2676
95.7%
ValueCountFrequency (%)
01
 
< 0.1%
19
0.3%
29
0.3%
319
0.7%
45
 
0.2%
ValueCountFrequency (%)
902
 
0.1%
602
 
0.1%
307
0.3%
241
 
< 0.1%
215
0.2%

bl_pt_other_symptoms_comment
Categorical

Distinct37
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2759 
Chest tightness
 
2
chest sore from coughing
 
1
Sniffling
 
1
heaviness in chest
 
1
Other values (32)
 
32

Unique

Unique35 ?
Unique (%)1.3%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2759
98.7%
Chest tightness2
 
0.1%
chest sore from coughing1
 
< 0.1%
Sniffling1
 
< 0.1%
heaviness in chest1
 
< 0.1%
chest feels like someone's sitting on my chest1
 
< 0.1%
can't get her breath1
 
< 0.1%
Tired1
 
< 0.1%
Sweating1
 
< 0.1%
light headedness forgetfulness difficulty concentrating increased anxiety thoughts of death related to breathing1
 
< 0.1%
Other values (27)27
 
1.0%

bl_pt_other_symptoms_duration
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)32.6%
Missing2750
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean12.65217391
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:45.448172image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.25
Q14
median6.5
Q314
95-th percentile30
Maximum90
Range89
Interquartile range (IQR)10

Descriptive statistics

Standard deviation16.49945102
Coefficient of variation (CV)1.304080321
Kurtosis11.01706286
Mean12.65217391
Median Absolute Deviation (MAD)3.5
Skewness3.000945709
Sum582
Variance272.2318841
MonotonicityNot monotonic
2022-09-20T22:38:45.523895image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
46
 
0.2%
305
 
0.2%
75
 
0.2%
144
 
0.1%
34
 
0.1%
54
 
0.1%
103
 
0.1%
13
 
0.1%
63
 
0.1%
23
 
0.1%
Other values (5)6
 
0.2%
(Missing)2750
98.4%
ValueCountFrequency (%)
13
0.1%
23
0.1%
34
0.1%
46
0.2%
54
0.1%
ValueCountFrequency (%)
901
 
< 0.1%
601
 
< 0.1%
305
0.2%
281
 
< 0.1%
212
 
0.1%

bclinpt43_8192
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.3920972644
Minimum0
Maximum1
Zeros200
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:45.595685image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4889618572
Coefficient of variation (CV)1.247042256
Kurtosis-1.813880101
Mean0.3920972644
Median Absolute Deviation (MAD)0
Skewness0.4440538235
Sum129
Variance0.2390836978
MonotonicityNot monotonic
2022-09-20T22:38:45.669714image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0200
 
7.2%
1129
 
4.6%
(Missing)2467
88.2%
ValueCountFrequency (%)
0200
7.2%
1129
4.6%
ValueCountFrequency (%)
1129
4.6%
0200
7.2%

bclinpt43_4096
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.1337386018
Minimum0
Maximum1
Zeros285
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:45.744598image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3408897143
Coefficient of variation (CV)2.548925364
Kurtosis2.690556808
Mean0.1337386018
Median Absolute Deviation (MAD)0
Skewness2.161998521
Sum44
Variance0.1162057973
MonotonicityNot monotonic
2022-09-20T22:38:45.815589image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0285
 
10.2%
144
 
1.6%
(Missing)2467
88.2%
ValueCountFrequency (%)
0285
10.2%
144
 
1.6%
ValueCountFrequency (%)
144
 
1.6%
0285
10.2%

bclinpt43_2048
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.04863221884
Minimum0
Maximum1
Zeros313
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:45.887771image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2154255891
Coefficient of variation (CV)4.429688676
Kurtosis15.87199147
Mean0.04863221884
Median Absolute Deviation (MAD)0
Skewness4.216104895
Sum16
Variance0.04640818445
MonotonicityNot monotonic
2022-09-20T22:38:45.960792image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0313
 
11.2%
116
 
0.6%
(Missing)2467
88.2%
ValueCountFrequency (%)
0313
11.2%
116
 
0.6%
ValueCountFrequency (%)
116
 
0.6%
0313
11.2%

bclinpt43_1024
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.2492401216
Minimum0
Maximum1
Zeros247
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:46.035225image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4332320044
Coefficient of variation (CV)1.738211335
Kurtosis-0.6474369418
Mean0.2492401216
Median Absolute Deviation (MAD)0
Skewness1.164704248
Sum82
Variance0.1876899696
MonotonicityNot monotonic
2022-09-20T22:38:46.113320image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0247
 
8.8%
182
 
2.9%
(Missing)2467
88.2%
ValueCountFrequency (%)
0247
8.8%
182
 
2.9%
ValueCountFrequency (%)
182
 
2.9%
0247
8.8%

bclinpt43_512
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.01519756839
Minimum0
Maximum1
Zeros324
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:46.187002image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1225244147
Coefficient of variation (CV)8.062106485
Kurtosis61.76835679
Mean0.01519756839
Median Absolute Deviation (MAD)0
Skewness7.961965547
Sum5
Variance0.01501223219
MonotonicityNot monotonic
2022-09-20T22:38:46.259823image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0324
 
11.6%
15
 
0.2%
(Missing)2467
88.2%
ValueCountFrequency (%)
0324
11.6%
15
 
0.2%
ValueCountFrequency (%)
15
 
0.2%
0324
11.6%

bclinpt43_256
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.006079027356
Minimum0
Maximum1
Zeros327
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:46.335009image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07784917299
Coefficient of variation (CV)12.80618896
Kurtosis161.9754791
Mean0.006079027356
Median Absolute Deviation (MAD)0
Skewness12.76678677
Sum2
Variance0.006060493736
MonotonicityNot monotonic
2022-09-20T22:38:46.406036image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0327
 
11.7%
12
 
0.1%
(Missing)2467
88.2%
ValueCountFrequency (%)
0327
11.7%
12
 
0.1%
ValueCountFrequency (%)
12
 
0.1%
0327
11.7%

bclinpt43_128
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.02127659574
Minimum0
Maximum1
Zeros322
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:46.479462image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1445247028
Coefficient of variation (CV)6.792661032
Kurtosis42.6858881
Mean0.02127659574
Median Absolute Deviation (MAD)0
Skewness6.665315572
Sum7
Variance0.02088738972
MonotonicityNot monotonic
2022-09-20T22:38:46.553524image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0322
 
11.5%
17
 
0.3%
(Missing)2467
88.2%
ValueCountFrequency (%)
0322
11.5%
17
 
0.3%
ValueCountFrequency (%)
17
 
0.3%
0322
11.5%

bclinpt43_64
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.07902735562
Minimum0
Maximum1
Zeros303
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:46.627951image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2701923928
Coefficient of variation (CV)3.41897297
Kurtosis7.877040098
Mean0.07902735562
Median Absolute Deviation (MAD)0
Skewness3.135154149
Sum26
Variance0.07300392913
MonotonicityNot monotonic
2022-09-20T22:38:46.858940image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0303
 
10.8%
126
 
0.9%
(Missing)2467
88.2%
ValueCountFrequency (%)
0303
10.8%
126
 
0.9%
ValueCountFrequency (%)
126
 
0.9%
0303
10.8%

bclinpt43_32
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.1458966565
Minimum0
Maximum1
Zeros281
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:46.934043image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3535402851
Coefficient of variation (CV)2.423224037
Kurtosis2.074561406
Mean0.1458966565
Median Absolute Deviation (MAD)0
Skewness2.015437155
Sum48
Variance0.1249907332
MonotonicityNot monotonic
2022-09-20T22:38:47.006598image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0281
 
10.1%
148
 
1.7%
(Missing)2467
88.2%
ValueCountFrequency (%)
0281
10.1%
148
 
1.7%
ValueCountFrequency (%)
148
 
1.7%
0281
10.1%

bclinpt43_16
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.03039513678
Minimum0
Maximum1
Zeros319
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:47.081948image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1719334868
Coefficient of variation (CV)5.656611715
Kurtosis28.37899011
Mean0.03039513678
Median Absolute Deviation (MAD)0
Skewness5.496044698
Sum10
Variance0.02956112388
MonotonicityNot monotonic
2022-09-20T22:38:47.158156image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0319
 
11.4%
110
 
0.4%
(Missing)2467
88.2%
ValueCountFrequency (%)
0319
11.4%
110
 
0.4%
ValueCountFrequency (%)
110
 
0.4%
0319
11.4%

bclinpt43_8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.443768997
Minimum0
Maximum1
Zeros183
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:47.233346image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4975847962
Coefficient of variation (CV)1.121269849
Kurtosis-1.960243759
Mean0.443768997
Median Absolute Deviation (MAD)0
Skewness0.2273981198
Sum146
Variance0.2475906294
MonotonicityNot monotonic
2022-09-20T22:38:47.306144image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0183
 
6.5%
1146
 
5.2%
(Missing)2467
88.2%
ValueCountFrequency (%)
0183
6.5%
1146
5.2%
ValueCountFrequency (%)
1146
5.2%
0183
6.5%

bclinpt43_4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.2705167173
Minimum0
Maximum1
Zeros240
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:47.383173image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4449034294
Coefficient of variation (CV)1.644643014
Kurtosis-0.9284052263
Mean0.2705167173
Median Absolute Deviation (MAD)0
Skewness1.03791895
Sum89
Variance0.1979390615
MonotonicityNot monotonic
2022-09-20T22:38:47.455981image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0240
 
8.6%
189
 
3.2%
(Missing)2467
88.2%
ValueCountFrequency (%)
0240
8.6%
189
 
3.2%
ValueCountFrequency (%)
189
 
3.2%
0240
8.6%

bclinpt43_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.2249240122
Minimum0
Maximum1
Zeros255
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:47.531205image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.418168273
Coefficient of variation (CV)1.859153538
Kurtosis-0.2494511105
Mean0.2249240122
Median Absolute Deviation (MAD)0
Skewness1.323670052
Sum74
Variance0.1748647046
MonotonicityNot monotonic
2022-09-20T22:38:47.610839image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0255
 
9.1%
174
 
2.6%
(Missing)2467
88.2%
ValueCountFrequency (%)
0255
9.1%
174
 
2.6%
ValueCountFrequency (%)
174
 
2.6%
0255
9.1%

bclinpt43_1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.7568389058
Minimum0
Maximum1
Zeros80
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:47.688591image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4296450338
Coefficient of variation (CV)0.5676835989
Kurtosis-0.5564538788
Mean0.7568389058
Median Absolute Deviation (MAD)0
Skewness-1.202898978
Sum249
Variance0.1845948551
MonotonicityNot monotonic
2022-09-20T22:38:47.762294image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1249
 
8.9%
080
 
2.9%
(Missing)2467
88.2%
ValueCountFrequency (%)
080
 
2.9%
1249
8.9%
ValueCountFrequency (%)
1249
8.9%
080
 
2.9%

bl_ra_height_date
Real number (ℝ≥0)

MISSING

Distinct140
Distinct (%)81.4%
Missing2624
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean1.344777421 × 1010
Minimum1.34057376 × 1010
Maximum1.34796096 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:47.860255image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.34057376 × 1010
5-th percentile1.342876752 × 1010
Q11.34383968 × 1010
median1.34456976 × 1010
Q31.34559792 × 1010
95-th percentile1.347246 × 1010
Maximum1.34796096 × 1010
Range73872000
Interquartile range (IQR)17582400

Descriptive statistics

Standard deviation13277486.84
Coefficient of variation (CV)0.0009873371332
Kurtosis0.01045392628
Mean1.344777421 × 1010
Median Absolute Deviation (MAD)8553600
Skewness0.1907356645
Sum2.313017165 × 1012
Variance1.762916568 × 1014
MonotonicityNot monotonic
2022-09-20T22:38:47.976364image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.34387424 × 10104
 
0.1%
1.34380512 × 10103
 
0.1%
1.34475552 × 10103
 
0.1%
1.34512704 × 10103
 
0.1%
1.344816 × 10103
 
0.1%
1.34595648 × 10103
 
0.1%
1.34427168 × 10103
 
0.1%
1.3442976 × 10102
 
0.1%
1.34614656 × 10102
 
0.1%
1.3442112 × 10102
 
0.1%
Other values (130)144
 
5.2%
(Missing)2624
93.8%
ValueCountFrequency (%)
1.34057376 × 10101
< 0.1%
1.3416624 × 10101
< 0.1%
1.3420512 × 10101
< 0.1%
1.34241408 × 10101
< 0.1%
1.34245728 × 10101
< 0.1%
ValueCountFrequency (%)
1.34796096 × 10101
< 0.1%
1.34786592 × 10101
< 0.1%
1.34784864 × 10101
< 0.1%
1.34758944 × 10101
< 0.1%
1.34741664 × 10101
< 0.1%

bl_ra_weight_date
Real number (ℝ≥0)

MISSING

Distinct138
Distinct (%)79.8%
Missing2623
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean1.34475572 × 1010
Minimum1.33406784 × 1010
Maximum1.34789184 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:48.098917image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.33406784 × 1010
5-th percentile1.342877184 × 1010
Q11.34387424 × 1010
median1.34475552 × 1010
Q31.34556768 × 1010
95-th percentile1.34724384 × 1010
Maximum1.34789184 × 1010
Range138240000
Interquartile range (IQR)16934400

Descriptive statistics

Standard deviation15327494.77
Coefficient of variation (CV)0.0011397977
Kurtosis12.85296764
Mean1.34475572 × 1010
Median Absolute Deviation (MAD)8726400
Skewness-1.814441309
Sum2.326427395 × 1012
Variance2.349320958 × 1014
MonotonicityNot monotonic
2022-09-20T22:38:48.215716image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.34387424 × 10104
 
0.1%
1.34548992 × 10104
 
0.1%
1.34475552 × 10104
 
0.1%
1.344816 × 10103
 
0.1%
1.34427168 × 10103
 
0.1%
1.34512704 × 10103
 
0.1%
1.34380512 × 10103
 
0.1%
1.34562816 × 10102
 
0.1%
1.34301888 × 10102
 
0.1%
1.34445312 × 10102
 
0.1%
Other values (128)143
 
5.1%
(Missing)2623
93.8%
ValueCountFrequency (%)
1.33406784 × 10101
< 0.1%
1.34057376 × 10101
< 0.1%
1.3416624 × 10101
< 0.1%
1.3420512 × 10101
< 0.1%
1.34241408 × 10101
< 0.1%
ValueCountFrequency (%)
1.34789184 × 10101
< 0.1%
1.34786592 × 10101
< 0.1%
1.34784864 × 10101
< 0.1%
1.34758944 × 10101
< 0.1%
1.34741664 × 10101
< 0.1%

bl_ra_COPD_type
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)1.6%
Missing2613
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean1.781420765
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:48.314920image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7310117579
Coefficient of variation (CV)0.410353226
Kurtosis-1.05829809
Mean1.781420765
Median Absolute Deviation (MAD)1
Skewness0.3652794991
Sum326
Variance0.5343781901
MonotonicityNot monotonic
2022-09-20T22:38:48.393314image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
277
 
2.8%
173
 
2.6%
333
 
1.2%
(Missing)2613
93.5%
ValueCountFrequency (%)
173
2.6%
277
2.8%
333
1.2%
ValueCountFrequency (%)
333
1.2%
277
2.8%
173
2.6%

bl_ra_spirometry_date
Real number (ℝ≥0)

MISSING

Distinct117
Distinct (%)90.7%
Missing2667
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean1.342724182 × 1010
Minimum1.33200288 × 1010
Maximum1.34735616 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:48.672375image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.33200288 × 1010
5-th percentile1.339030656 × 1010
Q11.3410576 × 1010
median1.34294976 × 1010
Q31.34414208 × 1010
95-th percentile1.346505984 × 1010
Maximum1.34735616 × 1010
Range153532800
Interquartile range (IQR)30844800

Descriptive statistics

Standard deviation23761301.46
Coefficient of variation (CV)0.001769633837
Kurtosis2.068690193
Mean1.342724182 × 1010
Median Absolute Deviation (MAD)15033600
Skewness-0.6260511107
Sum1.732114195 × 1012
Variance5.645994472 × 1014
MonotonicityNot monotonic
2022-09-20T22:38:48.786165image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3426992 × 10103
 
0.1%
1.33974432 × 10102
 
0.1%
1.34294976 × 10102
 
0.1%
1.34048736 × 10102
 
0.1%
1.33958016 × 10102
 
0.1%
1.3434768 × 10102
 
0.1%
1.3411872 × 10102
 
0.1%
1.34242272 × 10102
 
0.1%
1.34351136 × 10102
 
0.1%
1.34284608 × 10102
 
0.1%
Other values (107)108
 
3.9%
(Missing)2667
95.4%
ValueCountFrequency (%)
1.33200288 × 10101
< 0.1%
1.33849152 × 10101
< 0.1%
1.33882848 × 10101
< 0.1%
1.33883712 × 10101
< 0.1%
1.33897536 × 10101
< 0.1%
ValueCountFrequency (%)
1.34735616 × 10101
< 0.1%
1.34725248 × 10101
< 0.1%
1.34722656 × 10101
< 0.1%
1.3471056 × 10101
< 0.1%
1.34694144 × 10101
< 0.1%

bclinra06_1024
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2615
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean0.4917127072
Minimum0
Maximum1
Zeros92
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:48.893093image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5013180908
Coefficient of variation (CV)1.019534544
Kurtosis-2.021341762
Mean0.4917127072
Median Absolute Deviation (MAD)0
Skewness0.03343142178
Sum89
Variance0.2513198281
MonotonicityNot monotonic
2022-09-20T22:38:48.967644image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
092
 
3.3%
189
 
3.2%
(Missing)2615
93.5%
ValueCountFrequency (%)
092
3.3%
189
3.2%
ValueCountFrequency (%)
189
3.2%
092
3.3%

bclinra06_512
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2615
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean0.01104972376
Minimum0
Maximum1
Zeros179
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:49.042912image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1048252661
Coefficient of variation (CV)9.486686578
Kurtosis87.95512
Mean0.01104972376
Median Absolute Deviation (MAD)0
Skewness9.433096169
Sum2
Variance0.0109883364
MonotonicityNot monotonic
2022-09-20T22:38:49.116006image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0179
 
6.4%
12
 
0.1%
(Missing)2615
93.5%
ValueCountFrequency (%)
0179
6.4%
12
 
0.1%
ValueCountFrequency (%)
12
 
0.1%
0179
6.4%

bclinra06_256
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED
ZEROS

Distinct1
Distinct (%)0.6%
Missing2615
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros181
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:49.198302image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2022-09-20T22:38:49.269161image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0181
 
6.5%
(Missing)2615
93.5%
ValueCountFrequency (%)
0181
6.5%
ValueCountFrequency (%)
0181
6.5%

bclinra06_128
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2615
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean0.02209944751
Minimum0
Maximum1
Zeros177
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:49.342102image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474148004
Coefficient of variation (CV)6.67051972
Kurtosis41.44153973
Mean0.02209944751
Median Absolute Deviation (MAD)0
Skewness6.556196827
Sum4
Variance0.02173112339
MonotonicityNot monotonic
2022-09-20T22:38:49.415523image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0177
 
6.3%
14
 
0.1%
(Missing)2615
93.5%
ValueCountFrequency (%)
0177
6.3%
14
 
0.1%
ValueCountFrequency (%)
14
 
0.1%
0177
6.3%

bclinra06_64
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2615
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean0.0773480663
Minimum0
Maximum1
Zeros167
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:49.493495image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2678839619
Coefficient of variation (CV)3.463356937
Kurtosis8.272121879
Mean0.0773480663
Median Absolute Deviation (MAD)0
Skewness3.190741981
Sum14
Variance0.07176181707
MonotonicityNot monotonic
2022-09-20T22:38:49.569926image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0167
 
6.0%
114
 
0.5%
(Missing)2615
93.5%
ValueCountFrequency (%)
0167
6.0%
114
 
0.5%
ValueCountFrequency (%)
114
 
0.5%
0167
6.0%

bclinra06_32
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2615
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean0.1325966851
Minimum0
Maximum1
Zeros157
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:49.647768image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3400790722
Coefficient of variation (CV)2.564763003
Kurtosis2.804371919
Mean0.1325966851
Median Absolute Deviation (MAD)0
Skewness2.184835294
Sum24
Variance0.1156537753
MonotonicityNot monotonic
2022-09-20T22:38:49.722729image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0157
 
5.6%
124
 
0.9%
(Missing)2615
93.5%
ValueCountFrequency (%)
0157
5.6%
124
 
0.9%
ValueCountFrequency (%)
124
 
0.9%
0157
5.6%

bclinra06_16
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2615
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean0.02209944751
Minimum0
Maximum1
Zeros177
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:49.799583image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474148004
Coefficient of variation (CV)6.67051972
Kurtosis41.44153973
Mean0.02209944751
Median Absolute Deviation (MAD)0
Skewness6.556196827
Sum4
Variance0.02173112339
MonotonicityNot monotonic
2022-09-20T22:38:49.874042image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0177
 
6.3%
14
 
0.1%
(Missing)2615
93.5%
ValueCountFrequency (%)
0177
6.3%
14
 
0.1%
ValueCountFrequency (%)
14
 
0.1%
0177
6.3%

bclinra06_8
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2615
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean0.3701657459
Minimum0
Maximum1
Zeros114
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:49.953929image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4841882957
Coefficient of variation (CV)1.308031068
Kurtosis-1.725108916
Mean0.3701657459
Median Absolute Deviation (MAD)0
Skewness0.5422886813
Sum67
Variance0.2344383057
MonotonicityNot monotonic
2022-09-20T22:38:50.032604image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0114
 
4.1%
167
 
2.4%
(Missing)2615
93.5%
ValueCountFrequency (%)
0114
4.1%
167
2.4%
ValueCountFrequency (%)
167
2.4%
0114
4.1%

bclinra06_4
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2615
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean0.2430939227
Minimum0
Maximum1
Zeros137
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:50.107712image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4301412391
Coefficient of variation (CV)1.769444643
Kurtosis-0.5472290777
Mean0.2430939227
Median Absolute Deviation (MAD)0
Skewness1.20786622
Sum44
Variance0.1850214856
MonotonicityNot monotonic
2022-09-20T22:38:50.183714image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0137
 
4.9%
144
 
1.6%
(Missing)2615
93.5%
ValueCountFrequency (%)
0137
4.9%
144
 
1.6%
ValueCountFrequency (%)
144
 
1.6%
0137
4.9%

bclinra06_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2615
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean0.270718232
Minimum0
Maximum1
Zeros132
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:50.417198image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4455633552
Coefficient of variation (CV)1.645856475
Kurtosis-0.927363704
Mean0.270718232
Median Absolute Deviation (MAD)0
Skewness1.040676136
Sum49
Variance0.1985267035
MonotonicityNot monotonic
2022-09-20T22:38:50.494235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0132
 
4.7%
149
 
1.8%
(Missing)2615
93.5%
ValueCountFrequency (%)
0132
4.7%
149
 
1.8%
ValueCountFrequency (%)
149
 
1.8%
0132
4.7%

bclinra06_1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2615
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean0.7845303867
Minimum0
Maximum1
Zeros39
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:50.574530image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.412288229
Coefficient of variation (CV)0.5255223201
Kurtosis-0.05280695535
Mean0.7845303867
Median Absolute Deviation (MAD)0
Skewness-1.395671654
Sum142
Variance0.1699815838
MonotonicityNot monotonic
2022-09-20T22:38:50.654109image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1142
 
5.1%
039
 
1.4%
(Missing)2615
93.5%
ValueCountFrequency (%)
039
 
1.4%
1142
5.1%
ValueCountFrequency (%)
1142
5.1%
039
 
1.4%

bl_ra_COPD_state_clinician
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)1.6%
Missing2610
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean1.844086022
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:50.735789image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9543031832
Coefficient of variation (CV)0.5174938545
Kurtosis-1.838672577
Mean1.844086022
Median Absolute Deviation (MAD)0
Skewness0.3175679629
Sum343
Variance0.9106945655
MonotonicityNot monotonic
2022-09-20T22:38:50.810856image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1101
 
3.6%
372
 
2.6%
213
 
0.5%
(Missing)2610
93.3%
ValueCountFrequency (%)
1101
3.6%
213
 
0.5%
372
2.6%
ValueCountFrequency (%)
372
2.6%
213
 
0.5%
1101
3.6%

bl_ra_sustained_exacerbation_and_medication
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)2.3%
Missing2710
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean1.034883721
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:50.893104image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1845614464
Coefficient of variation (CV)0.178340274
Kurtosis25.21404033
Mean1.034883721
Median Absolute Deviation (MAD)0
Skewness5.160237801
Sum89
Variance0.0340629275
MonotonicityNot monotonic
2022-09-20T22:38:50.970092image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
183
 
3.0%
23
 
0.1%
(Missing)2710
96.9%
ValueCountFrequency (%)
183
3.0%
23
 
0.1%
ValueCountFrequency (%)
23
 
0.1%
183
3.0%

bl_ra_hospitalization_required
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)2.3%
Missing2710
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean1.174418605
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:51.047998image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3816946875
Coefficient of variation (CV)0.3250073577
Kurtosis1.075060807
Mean1.174418605
Median Absolute Deviation (MAD)0
Skewness1.746596661
Sum101
Variance0.1456908345
MonotonicityNot monotonic
2022-09-20T22:38:51.121171image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
171
 
2.5%
215
 
0.5%
(Missing)2710
96.9%
ValueCountFrequency (%)
171
2.5%
215
 
0.5%
ValueCountFrequency (%)
215
 
0.5%
171
2.5%

bl_ra_spirometry_date_2
Real number (ℝ≥0)

MISSING

Distinct68
Distinct (%)76.4%
Missing2707
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean1.344593204 × 1010
Minimum1.34349408 × 1010
Maximum1.34665632 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:51.217164image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.34349408 × 1010
5-th percentile1.34363232 × 1010
Q11.34397792 × 1010
median1.34434944 × 1010
Q31.34512704 × 1010
95-th percentile1.346080896 × 1010
Maximum1.34665632 × 1010
Range31622400
Interquartile range (IQR)11491200

Descriptive statistics

Standard deviation7763842.918
Coefficient of variation (CV)0.00057741203
Kurtosis-0.08540198317
Mean1.344593204 × 1010
Median Absolute Deviation (MAD)4924800
Skewness0.7824199625
Sum1.196687952 × 1012
Variance6.027725685 × 1013
MonotonicityNot monotonic
2022-09-20T22:38:51.329589image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.34385696 × 10103
 
0.1%
1.34397792 × 10103
 
0.1%
1.34434944 × 10103
 
0.1%
1.34562816 × 10102
 
0.1%
1.34512704 × 10102
 
0.1%
1.344816 × 10102
 
0.1%
1.34432352 × 10102
 
0.1%
1.3452048 × 10102
 
0.1%
1.3438656 × 10102
 
0.1%
1.34573184 × 10102
 
0.1%
Other values (58)66
 
2.4%
(Missing)2707
96.8%
ValueCountFrequency (%)
1.34349408 × 10101
< 0.1%
1.34354592 × 10102
0.1%
1.34355456 × 10101
< 0.1%
1.34361504 × 10101
< 0.1%
1.34365824 × 10101
< 0.1%
ValueCountFrequency (%)
1.34665632 × 10101
< 0.1%
1.34650944 × 10101
< 0.1%
1.34646624 × 10101
< 0.1%
1.34640576 × 10101
< 0.1%
1.34614656 × 10101
< 0.1%

bl_ra_6_minute_walk_score_date
Real number (ℝ≥0)

MISSING

Distinct68
Distinct (%)82.9%
Missing2714
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.03734224 × 1010
Minimum1.34355456 × 1010
Maximum5.814745056 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:51.452149image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.34355456 × 1010
5-th percentile1.343659536 × 1010
Q11.34398008 × 1010
median1.34440128 × 1010
Q31.34518968 × 1010
95-th percentile1.3463928 × 1010
Maximum5.814745056 × 1011
Range5.6803896 × 1011
Interquartile range (IQR)12096000

Descriptive statistics

Standard deviation6.272822777 × 1010
Coefficient of variation (CV)3.078924421
Kurtosis81.99999736
Mean2.03734224 × 1010
Median Absolute Deviation (MAD)5443200
Skewness9.055384922
Sum1.670620637 × 1012
Variance3.934830559 × 1021
MonotonicityNot monotonic
2022-09-20T22:38:51.564090image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.34385696 × 10103
 
0.1%
1.34434944 × 10103
 
0.1%
1.34573184 × 10102
 
0.1%
1.34562816 × 10102
 
0.1%
1.34512704 × 10102
 
0.1%
1.3452048 × 10102
 
0.1%
1.34380512 × 10102
 
0.1%
1.3446 × 10102
 
0.1%
1.34397792 × 10102
 
0.1%
1.34355456 × 10102
 
0.1%
Other values (58)60
 
2.1%
(Missing)2714
97.1%
ValueCountFrequency (%)
1.34355456 × 10102
0.1%
1.34361504 × 10101
< 0.1%
1.34363232 × 10101
< 0.1%
1.34365824 × 10101
< 0.1%
1.34368416 × 10101
< 0.1%
ValueCountFrequency (%)
5.814745056 × 10111
< 0.1%
1.34665632 × 10101
< 0.1%
1.34650944 × 10101
< 0.1%
1.34646624 × 10101
< 0.1%
1.34640576 × 10101
< 0.1%

bl_ra_date_enrolled
Real number (ℝ≥0)

MISSING

Distinct140
Distinct (%)75.7%
Missing2611
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean1.345184484 × 1010
Minimum1.34349408 × 1010
Maximum1.34802144 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:51.685020image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.34349408 × 1010
5-th percentile1.34361504 × 1010
Q11.34411616 × 1010
median1.34510976 × 1010
Q31.34601696 × 1010
95-th percentile1.347354432 × 1010
Maximum1.34802144 × 1010
Range45273600
Interquartile range (IQR)19008000

Descriptive statistics

Standard deviation11902231.74
Coefficient of variation (CV)0.0008848029309
Kurtosis-0.7446566258
Mean1.345184484 × 1010
Median Absolute Deviation (MAD)9676800
Skewness0.4836627439
Sum2.488591296 × 1012
Variance1.416631205 × 1014
MonotonicityNot monotonic
2022-09-20T22:38:51.798096image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.34361504 × 10104
 
0.1%
1.34397792 × 10103
 
0.1%
1.34385696 × 10103
 
0.1%
1.34512704 × 10103
 
0.1%
1.34548128 × 10103
 
0.1%
1.3455504 × 10103
 
0.1%
1.34398656 × 10103
 
0.1%
1.34595648 × 10102
 
0.1%
1.34484192 × 10102
 
0.1%
1.34562816 × 10102
 
0.1%
Other values (130)157
 
5.6%
(Missing)2611
93.4%
ValueCountFrequency (%)
1.34349408 × 10101
< 0.1%
1.34353728 × 10101
< 0.1%
1.34354592 × 10101
< 0.1%
1.34355456 × 10101
< 0.1%
1.3435632 × 10101
< 0.1%
ValueCountFrequency (%)
1.34802144 × 10101
< 0.1%
1.34797824 × 10101
< 0.1%
1.34786592 × 10101
< 0.1%
1.34778816 × 10101
< 0.1%
1.34759808 × 10102
0.1%

fl_pt_not_enrolled_reason
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2793 
9/21/2009
 
1
did not meet GOLD standard
 
1
9/25/2009
 
1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2793
99.9%
9/21/20091
 
< 0.1%
did not meet GOLD standard1
 
< 0.1%
9/25/20091
 
< 0.1%

Category Frequency Plot

2022-09-20T22:38:51.903322image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

bl_ra_COPD_type_comment
Categorical

Distinct22
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2762 
asthma
 
6
Type unspecified in medical record.
 
4
Type not specified in medical record
 
3
Type unspecified in medical record
 
2
Other values (17)
 
19

Unique

Unique15 ?
Unique (%)0.5%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2762
98.8%
asthma6
 
0.2%
Type unspecified in medical record.4
 
0.1%
Type not specified in medical record3
 
0.1%
Type unspecified in medical record2
 
0.1%
Type unspecified in chart2
 
0.1%
type unspecified in chart2
 
0.1%
Chronic airway obstruction1
 
< 0.1%
unspecified type in medical chart1
 
< 0.1%
Type of COPD unspecified in medical record1
 
< 0.1%
Other values (12)12
 
0.4%

fl_pt_hospitalizations_due_to_COPD_past_3_months
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)2.0%
Missing2647
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean1.275167785
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:52.132849image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5911402221
Coefficient of variation (CV)0.4635783847
Kurtosis2.889733533
Mean1.275167785
Median Absolute Deviation (MAD)0
Skewness2.029093539
Sum190
Variance0.3494467622
MonotonicityNot monotonic
2022-09-20T22:38:52.215198image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1119
 
4.3%
219
 
0.7%
311
 
0.4%
(Missing)2647
94.7%
ValueCountFrequency (%)
1119
4.3%
219
 
0.7%
311
 
0.4%
ValueCountFrequency (%)
311
 
0.4%
219
 
0.7%
1119
4.3%

fl_pt_emergency_room_visits_due_to_COPD_past_3_months
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)2.0%
Missing2648
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean1.175675676
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:52.306207image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4768978016
Coefficient of variation (CV)0.4056372105
Kurtosis6.944822173
Mean1.175675676
Median Absolute Deviation (MAD)0
Skewness2.7706445
Sum174
Variance0.2274315131
MonotonicityNot monotonic
2022-09-20T22:38:52.403095image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1128
 
4.6%
214
 
0.5%
36
 
0.2%
(Missing)2648
94.7%
ValueCountFrequency (%)
1128
4.6%
214
 
0.5%
36
 
0.2%
ValueCountFrequency (%)
36
 
0.2%
214
 
0.5%
1128
4.6%

fclinpt05
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)2.7%
Missing2647
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean1.496644295
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:52.492550image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7409285726
Coefficient of variation (CV)0.4950598983
Kurtosis0.869077119
Mean1.496644295
Median Absolute Deviation (MAD)0
Skewness1.324994179
Sum223
Variance0.5489751496
MonotonicityNot monotonic
2022-09-20T22:38:52.569018image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
195
 
3.4%
236
 
1.3%
316
 
0.6%
42
 
0.1%
(Missing)2647
94.7%
ValueCountFrequency (%)
195
3.4%
236
 
1.3%
316
 
0.6%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
316
 
0.6%
236
 
1.3%
195
3.4%

fclinra01
Real number (ℝ≥0)

MISSING

Distinct62
Distinct (%)41.6%
Missing2647
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean3926.456376
Minimum1
Maximum13315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:52.667380image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q19
median1027
Q38201
95-th percentile9238.2
Maximum13315
Range13314
Interquartile range (IQR)8192

Descriptive statistics

Standard deviation4274.874873
Coefficient of variation (CV)1.088736118
Kurtosis-1.72628375
Mean3926.456376
Median Absolute Deviation (MAD)1026
Skewness0.2954646032
Sum585042
Variance18274555.18
MonotonicityNot monotonic
2022-09-20T22:38:52.782530image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
917
 
0.6%
820116
 
0.6%
112
 
0.4%
89
 
0.3%
81939
 
0.3%
35
 
0.2%
44
 
0.1%
10334
 
0.1%
374
 
0.1%
82283
 
0.1%
Other values (52)66
 
2.4%
(Missing)2647
94.7%
ValueCountFrequency (%)
112
0.4%
35
0.2%
44
 
0.1%
53
 
0.1%
89
0.3%
ValueCountFrequency (%)
133151
< 0.1%
124241
< 0.1%
122951
< 0.1%
112651
< 0.1%
102751
< 0.1%

fclinra07
Categorical

HIGH CARDINALITY

Distinct54
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2742 
6/11/2009
 
2
11/05/2009
 
1
9/1/2008
 
1
0
 
1
Other values (49)
 
49

Unique

Unique52 ?
Unique (%)1.9%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2742
98.1%
6/11/20092
 
0.1%
11/05/20091
 
< 0.1%
9/1/20081
 
< 0.1%
01
 
< 0.1%
3/12/091
 
< 0.1%
06/10/091
 
< 0.1%
3/13/20091
 
< 0.1%
8/13/091
 
< 0.1%
03/30/091
 
< 0.1%
Other values (44)44
 
1.6%

fclinra09
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)6.7%
Missing2766
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean1.466666667
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:52.886812image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5074162634
Coefficient of variation (CV)0.3459656341
Kurtosis-2.126913265
Mean1.466666667
Median Absolute Deviation (MAD)0
Skewness0.1407691802
Sum44
Variance0.2574712644
MonotonicityNot monotonic
2022-09-20T22:38:52.970876image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
116
 
0.6%
214
 
0.5%
(Missing)2766
98.9%
ValueCountFrequency (%)
116
0.6%
214
0.5%
ValueCountFrequency (%)
214
0.5%
116
0.6%

fclinra10
Categorical

Distinct18
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2779 
9/16/2009
 
1
11/25/2008
 
1
1/22/2010
 
1
4/20/09
 
1
Other values (13)
 
13

Unique

Unique17 ?
Unique (%)0.6%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2779
99.4%
9/16/20091
 
< 0.1%
11/25/20081
 
< 0.1%
1/22/20101
 
< 0.1%
4/20/091
 
< 0.1%
5/7/20091
 
< 0.1%
10/13/2009 & 10/19/20091
 
< 0.1%
12/31/081
 
< 0.1%
10/25/2008; 11/2/20081
 
< 0.1%
6/9/20091
 
< 0.1%
Other values (8)8
 
0.3%

fclinra11
Categorical

Distinct14
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2783 
Sought treatment for leg pain. Reported increasing difficulty breathing over 2 week period with non-productive cough and incr
 
1
COPD exac along with pneumonia
 
1
pt was admitted for SOB and again on 01/14/2009 for SOB
 
1
new exacerbation attributed to "medication reaction"
 
1
Other values (9)
 
9

Unique

Unique13 ?
Unique (%)0.5%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2783
99.5%
Sought treatment for leg pain. Reported increasing difficulty breathing over 2 week period with non-productive cough and incr1
 
< 0.1%
COPD exac along with pneumonia1
 
< 0.1%
pt was admitted for SOB and again on 01/14/2009 for SOB1
 
< 0.1%
new exacerbation attributed to "medication reaction"1
 
< 0.1%
Presented to ER with shortness of breath and brown sputum.1
 
< 0.1%
increased shortness of breath and wheezing1
 
< 0.1%
Continued difficulties and one other treatment with antibiotics and prednisone after hospitalization at enrollment. 6/9 hospi1
 
< 0.1%
Prior to both hospitalizations patient had used nebulizer treatments without relief for increased difficulty breathing. Oxyge1
 
< 0.1%
Treated with prednisone anticiotics nebs for pneumonia & exacerbation1
 
< 0.1%
Other values (4)4
 
0.1%

fclinra12
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)8.0%
Missing2771
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean1.6
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:53.058030image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5
Coefficient of variation (CV)0.3125
Kurtosis-1.976284585
Mean1.6
Median Absolute Deviation (MAD)0
Skewness-0.4347826087
Sum40
Variance0.25
MonotonicityNot monotonic
2022-09-20T22:38:53.135832image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
215
 
0.5%
110
 
0.4%
(Missing)2771
99.1%
ValueCountFrequency (%)
110
0.4%
215
0.5%
ValueCountFrequency (%)
215
0.5%
110
0.4%

fclinra13
Categorical

Distinct11
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2786 
10/21/2008
 
1
12/28/08
 
1
March 24 2009
 
1
10/30/2008
 
1
Other values (6)
 
6

Unique

Unique10 ?
Unique (%)0.4%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2786
99.6%
10/21/20081
 
< 0.1%
12/28/081
 
< 0.1%
March 24 20091
 
< 0.1%
10/30/20081
 
< 0.1%
02/17/20091
 
< 0.1%
10/8/20081
 
< 0.1%
11/19/20091
 
< 0.1%
11/08/20081
 
< 0.1%
8/29/081
 
< 0.1%

fclinra14
Categorical

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2788 
Spiriva added; counselled re: smoking cessation
 
1
MedExpress visit for SOB; prescribed avelox and cortisone
 
1
azithromycin and prednisone
 
1
shortness of breath
 
1
Other values (4)
 
4

Unique

Unique8 ?
Unique (%)0.3%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2788
99.7%
Spiriva added; counselled re: smoking cessation1
 
< 0.1%
MedExpress visit for SOB; prescribed avelox and cortisone1
 
< 0.1%
azithromycin and prednisone1
 
< 0.1%
shortness of breath1
 
< 0.1%
Azithromycin and Prednisone1
 
< 0.1%
Patient saw nurse practionner for increasing shortness or breath and cough. COPD Exacerbation diagnosed and started on long1
 
< 0.1%
Pt went to emergency room with chills cough was treated with azithromycin1
 
< 0.1%
Was enrolled at time of regular visit; exacerbation determined during that visit. Increased difficulty breathing unable to co1
 
< 0.1%

Category Frequency Plot

2022-09-20T22:38:53.239917image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

fclinra15
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)9.5%
Missing2775
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean1.80952381
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:53.344703image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4023739081
Coefficient of variation (CV)0.2223645282
Kurtosis0.9752321981
Mean1.80952381
Median Absolute Deviation (MAD)0
Skewness-1.700434627
Sum38
Variance0.1619047619
MonotonicityNot monotonic
2022-09-20T22:38:53.419932image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
217
 
0.6%
14
 
0.1%
(Missing)2775
99.2%
ValueCountFrequency (%)
14
 
0.1%
217
0.6%
ValueCountFrequency (%)
217
0.6%
14
 
0.1%

fclinra16
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2790 
March 24 2009
 
1
06/22/2009
 
1
12/31/2008
 
1
1/22/2010
 
1
Other values (2)
 
2

Unique

Unique6 ?
Unique (%)0.2%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2790
99.8%
March 24 20091
 
< 0.1%
06/22/20091
 
< 0.1%
12/31/20081
 
< 0.1%
1/22/20101
 
< 0.1%
11/25/20081
 
< 0.1%
23-feb-20091
 
< 0.1%

Category Frequency Plot

2022-09-20T22:38:53.515761image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

fclinra17
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2794 
patient report
 
1
ER admit--oral meds
 
1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2794
99.9%
patient report1
 
< 0.1%
ER admit--oral meds1
 
< 0.1%

Category Frequency Plot

2022-09-20T22:38:53.602606image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

fclinra18
Categorical

Distinct20
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2773 
Donohue
 
3
Charles W. Atwood
 
2
Dr Charles Atwood
 
2
Dr.Kussin
 
1
Other values (15)
 
15

Unique

Unique16 ?
Unique (%)0.6%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2773
99.2%
Donohue3
 
0.1%
Charles W. Atwood2
 
0.1%
Dr Charles Atwood2
 
0.1%
Dr.Kussin1
 
< 0.1%
Drs Christine Williams & David Margolis1
 
< 0.1%
10/13Dr.Kussin/10/19Dr.Govert1
 
< 0.1%
Margaret Whalen RN1
 
< 0.1%
Dr Howard Kehrl; Dr Jeffrey Anderson1
 
< 0.1%
Dr. David Henke1
 
< 0.1%
Other values (10)10
 
0.4%

fclinra50
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2789 
Levaquin
 
2
Advair
 
1
Avair 250/50
 
1
advair
 
1
Other values (2)
 
2

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2789
99.7%
Levaquin2
 
0.1%
Advair1
 
< 0.1%
Avair 250/501
 
< 0.1%
advair1
 
< 0.1%
doxycycline1
 
< 0.1%
oxygen1
 
< 0.1%

Category Frequency Plot

2022-09-20T22:38:53.686196image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

fclinra51
Categorical

Distinct37
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2704 
Advair
 
30
mometazone
 
11
advair
 
6
mometasone furoate
 
6
Other values (32)
 
39

Unique

Unique26 ?
Unique (%)0.9%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2704
96.7%
Advair30
 
1.1%
mometazone11
 
0.4%
advair6
 
0.2%
mometasone furoate6
 
0.2%
Advair 250/503
 
0.1%
asmanex2
 
0.1%
Advair oxygen2
 
0.1%
guaifenesin2
 
0.1%
mometasone montelukast2
 
0.1%
Other values (27)28
 
1.0%

fclinra52
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2795 
Participant has continued difficulty since baseline visit when enrolled as exacerbator. Is maintained on prednisone and is on
 
1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2795
> 99.9%
Participant has continued difficulty since baseline visit when enrolled as exacerbator. Is maintained on prednisone and is on1
 
< 0.1%

Category Frequency Plot

2022-09-20T22:38:53.779107image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

fclinra67
Categorical

HIGH CARDINALITY

Distinct58
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2736 
9/24/2009
 
2
10/21/2009
 
2
6/11/2009
 
2
7/20/2009
 
1
Other values (53)
 
53

Unique

Unique54 ?
Unique (%)1.9%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2736
97.9%
9/24/20092
 
0.1%
10/21/20092
 
0.1%
6/11/20092
 
0.1%
7/20/20091
 
< 0.1%
8/21/20091
 
< 0.1%
3/12/091
 
< 0.1%
3/13/20091
 
< 0.1%
7/14/20091
 
< 0.1%
12/15/20081
 
< 0.1%
Other values (48)48
 
1.7%

GeneralHealth
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2461
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean2.12238806
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:54.008159image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9540052498
Coefficient of variation (CV)0.4494961444
Kurtosis-0.02015313039
Mean2.12238806
Median Absolute Deviation (MAD)1
Skewness0.6271032651
Sum711
Variance0.9101260166
MonotonicityNot monotonic
2022-09-20T22:38:54.084945image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2132
 
4.7%
197
 
3.5%
379
 
2.8%
422
 
0.8%
55
 
0.2%
(Missing)2461
88.0%
ValueCountFrequency (%)
197
3.5%
2132
4.7%
379
2.8%
422
 
0.8%
55
 
0.2%
ValueCountFrequency (%)
55
 
0.2%
422
 
0.8%
379
2.8%
2132
4.7%
197
3.5%

Global02
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2464
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean2.680722892
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:54.169387image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9896085871
Coefficient of variation (CV)0.3691573606
Kurtosis-0.4281265816
Mean2.680722892
Median Absolute Deviation (MAD)1
Skewness0.2800413459
Sum890
Variance0.9793251556
MonotonicityNot monotonic
2022-09-20T22:38:54.248005image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2121
 
4.3%
3109
 
3.9%
457
 
2.0%
133
 
1.2%
512
 
0.4%
(Missing)2464
88.1%
ValueCountFrequency (%)
133
 
1.2%
2121
4.3%
3109
3.9%
457
2.0%
512
 
0.4%
ValueCountFrequency (%)
512
 
0.4%
457
2.0%
3109
3.9%
2121
4.3%
133
 
1.2%

Global03
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean2.117824773
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:54.332049image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9541056956
Coefficient of variation (CV)0.4505121045
Kurtosis-0.2660214772
Mean2.117824773
Median Absolute Deviation (MAD)1
Skewness0.5836478588
Sum701
Variance0.9103176783
MonotonicityNot monotonic
2022-09-20T22:38:54.407485image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2131
 
4.7%
197
 
3.5%
373
 
2.6%
427
 
1.0%
53
 
0.1%
(Missing)2465
88.2%
ValueCountFrequency (%)
197
3.5%
2131
4.7%
373
2.6%
427
 
1.0%
53
 
0.1%
ValueCountFrequency (%)
53
 
0.1%
427
 
1.0%
373
2.6%
2131
4.7%
197
3.5%

Global04
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean3.283987915
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:54.494434image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.119124571
Coefficient of variation (CV)0.3407821831
Kurtosis-0.6682828131
Mean3.283987915
Median Absolute Deviation (MAD)1
Skewness-0.1864120035
Sum1087
Variance1.252439806
MonotonicityNot monotonic
2022-09-20T22:38:54.580628image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3107
 
3.8%
493
 
3.3%
259
 
2.1%
551
 
1.8%
121
 
0.8%
(Missing)2465
88.2%
ValueCountFrequency (%)
121
 
0.8%
259
2.1%
3107
3.8%
493
3.3%
551
1.8%
ValueCountFrequency (%)
551
1.8%
493
3.3%
3107
3.8%
259
2.1%
121
 
0.8%

Global05
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2466
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean2.860606061
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:54.666655image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.123915051
Coefficient of variation (CV)0.3928940327
Kurtosis-0.6756019514
Mean2.860606061
Median Absolute Deviation (MAD)1
Skewness0.1350231074
Sum944
Variance1.263185042
MonotonicityNot monotonic
2022-09-20T22:38:54.745535image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3109
 
3.9%
289
 
3.2%
465
 
2.3%
139
 
1.4%
528
 
1.0%
(Missing)2466
88.2%
ValueCountFrequency (%)
139
 
1.4%
289
3.2%
3109
3.9%
465
2.3%
528
 
1.0%
ValueCountFrequency (%)
528
 
1.0%
465
2.3%
3109
3.9%
289
3.2%
139
 
1.4%

Global06
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2463
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean2.930930931
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:54.832560image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.115892062
Coefficient of variation (CV)0.3807295663
Kurtosis-0.7042663619
Mean2.930930931
Median Absolute Deviation (MAD)1
Skewness0.2153988816
Sum976
Variance1.245215095
MonotonicityNot monotonic
2022-09-20T22:38:54.911851image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3104
 
3.7%
2101
 
3.6%
466
 
2.4%
534
 
1.2%
128
 
1.0%
(Missing)2463
88.1%
ValueCountFrequency (%)
128
 
1.0%
2101
3.6%
3104
3.7%
466
2.4%
534
 
1.2%
ValueCountFrequency (%)
534
 
1.2%
466
2.4%
3104
3.7%
2101
3.6%
128
 
1.0%

Global07
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)3.3%
Missing2462
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean3.700598802
Minimum0
Maximum10
Zeros77
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:55.004057image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q36
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.766194402
Coefficient of variation (CV)0.7474991346
Kurtosis-1.184539945
Mean3.700598802
Median Absolute Deviation (MAD)2
Skewness0.06446278668
Sum1236
Variance7.651831472
MonotonicityNot monotonic
2022-09-20T22:38:55.090410image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
077
 
2.8%
541
 
1.5%
739
 
1.4%
437
 
1.3%
335
 
1.3%
632
 
1.1%
229
 
1.0%
823
 
0.8%
115
 
0.5%
94
 
0.1%
(Missing)2462
88.1%
ValueCountFrequency (%)
077
2.8%
115
 
0.5%
229
 
1.0%
335
1.3%
437
1.3%
ValueCountFrequency (%)
102
 
0.1%
94
 
0.1%
823
0.8%
739
1.4%
632
1.1%

Global08
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2461
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean2.931343284
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:55.172247image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.843113874
Coefficient of variation (CV)0.2876203134
Kurtosis-0.007230324474
Mean2.931343284
Median Absolute Deviation (MAD)1
Skewness-0.1406687988
Sum982
Variance0.7108410046
MonotonicityNot monotonic
2022-09-20T22:38:55.247250image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3165
 
5.9%
276
 
2.7%
471
 
2.5%
116
 
0.6%
57
 
0.3%
(Missing)2461
88.0%
ValueCountFrequency (%)
116
 
0.6%
276
2.7%
3165
5.9%
471
2.5%
57
 
0.3%
ValueCountFrequency (%)
57
 
0.3%
471
2.5%
3165
5.9%
276
2.7%
116
 
0.6%

Global09
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2462
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean2.691616766
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:55.336016image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4.35
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.081146826
Coefficient of variation (CV)0.401671902
Kurtosis-0.619967015
Mean2.691616766
Median Absolute Deviation (MAD)1
Skewness0.1933946996
Sum899
Variance1.168878459
MonotonicityNot monotonic
2022-09-20T22:38:55.409931image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3108
 
3.9%
2101
 
3.6%
460
 
2.1%
148
 
1.7%
517
 
0.6%
(Missing)2462
88.1%
ValueCountFrequency (%)
148
1.7%
2101
3.6%
3108
3.9%
460
2.1%
517
 
0.6%
ValueCountFrequency (%)
517
 
0.6%
460
2.1%
3108
3.9%
2101
3.6%
148
1.7%

Global10
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2460
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean2.571428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:55.494417image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.106676771
Coefficient of variation (CV)0.4303742998
Kurtosis-0.7384545079
Mean2.571428571
Median Absolute Deviation (MAD)1
Skewness0.2702091987
Sum864
Variance1.224733475
MonotonicityNot monotonic
2022-09-20T22:38:55.572394image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2108
 
3.9%
392
 
3.3%
162
 
2.2%
460
 
2.1%
514
 
0.5%
(Missing)2460
88.0%
ValueCountFrequency (%)
162
2.2%
2108
3.9%
392
3.3%
460
2.1%
514
 
0.5%
ValueCountFrequency (%)
514
 
0.5%
460
2.1%
392
3.3%
2108
3.9%
162
2.2%

PROMISAngerBankv1_SE
Real number (ℝ≥0)

MISSING

Distinct211
Distinct (%)65.9%
Missing2476
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean2.98396075
Minimum2.72517
Maximum5.10645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:55.683766image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.72517
5-th percentile2.7714185
Q12.8529475
median2.90635
Q32.9743925
95-th percentile3.4278885
Maximum5.10645
Range2.38128
Interquartile range (IQR)0.121445

Descriptive statistics

Standard deviation0.3866303023
Coefficient of variation (CV)0.1295695
Kurtosis21.35826096
Mean2.98396075
Median Absolute Deviation (MAD)0.064225
Skewness4.549261917
Sum954.86744
Variance0.1494829906
MonotonicityNot monotonic
2022-09-20T22:38:55.960427image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.9063518
 
0.6%
2.771759
 
0.3%
2.994079
 
0.3%
5.106458
 
0.3%
2.99516
 
0.2%
2.982665
 
0.2%
2.881765
 
0.2%
2.858245
 
0.2%
2.905445
 
0.2%
2.986684
 
0.1%
Other values (201)246
 
8.8%
(Missing)2476
88.6%
ValueCountFrequency (%)
2.725172
0.1%
2.7261
 
< 0.1%
2.746993
0.1%
2.74751
 
< 0.1%
2.747882
0.1%
ValueCountFrequency (%)
5.106458
0.3%
4.299141
 
< 0.1%
4.201831
 
< 0.1%
3.99421
 
< 0.1%
3.952281
 
< 0.1%

PROMISAngerBankv1_Theta
Real number (ℝ≥0)

MISSING

Distinct211
Distinct (%)65.9%
Missing2476
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean51.21717062
Minimum28.5683
Maximum80.3407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:56.069895image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum28.5683
5-th percentile35.963965
Q144.7963
median50.4322
Q357.0881
95-th percentile69.4325
Maximum80.3407
Range51.7724
Interquartile range (IQR)12.2918

Descriptive statistics

Standard deviation10.11984246
Coefficient of variation (CV)0.1975869096
Kurtosis0.001314398277
Mean51.21717062
Median Absolute Deviation (MAD)6.13265
Skewness0.2949561393
Sum16389.4946
Variance102.4112114
MonotonicityNot monotonic
2022-09-20T22:38:56.180809image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.505718
 
0.6%
54.83149
 
0.3%
45.63829
 
0.3%
28.56838
 
0.3%
49.80916
 
0.2%
48.98545
 
0.2%
52.77045
 
0.2%
54.91695
 
0.2%
44.79635
 
0.2%
54.30674
 
0.1%
Other values (201)246
 
8.8%
(Missing)2476
88.6%
ValueCountFrequency (%)
28.56838
0.3%
31.57731
 
< 0.1%
33.36611
 
< 0.1%
33.79281
 
< 0.1%
34.46033
 
0.1%
ValueCountFrequency (%)
80.34071
< 0.1%
76.94461
< 0.1%
76.80971
< 0.1%
76.2491
< 0.1%
74.95031
< 0.1%

PROMISAnxietyBankv1_SE
Real number (ℝ≥0)

MISSING

Distinct277
Distinct (%)18.7%
Missing1312
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean2.852116146
Minimum2.34458
Maximum5.18937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:56.291959image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.34458
5-th percentile2.39853
Q12.51979
median2.66123
Q32.8578
95-th percentile5.18937
Maximum5.18937
Range2.84479
Interquartile range (IQR)0.33801

Descriptive statistics

Standard deviation0.664991897
Coefficient of variation (CV)0.2331573691
Kurtosis6.344637374
Mean2.852116146
Median Absolute Deviation (MAD)0.159385
Skewness2.665580081
Sum4232.54036
Variance0.442214223
MonotonicityNot monotonic
2022-09-20T22:38:56.402230image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.53422175
 
6.3%
5.1893786
 
3.1%
2.4608276
 
2.7%
2.3445861
 
2.2%
2.3985345
 
1.6%
2.5197930
 
1.1%
2.677729
 
1.0%
4.1262128
 
1.0%
2.6852326
 
0.9%
2.4607123
 
0.8%
Other values (267)905
32.4%
(Missing)1312
46.9%
ValueCountFrequency (%)
2.3445861
2.2%
2.373391
 
< 0.1%
2.3985345
1.6%
2.419110
 
0.4%
2.436635
 
0.2%
ValueCountFrequency (%)
5.1893786
3.1%
4.461
 
< 0.1%
4.1262128
 
1.0%
4.049739
 
0.3%
4.03323
 
0.1%

PROMISAnxietyBankv1_Theta
Real number (ℝ≥0)

MISSING

Distinct277
Distinct (%)18.7%
Missing1312
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean53.95620836
Minimum32.8655
Maximum84.9036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:56.511355image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum32.8655
5-th percentile32.8655
Q146.9001
median53.5482
Q361.6499
95-th percentile71.2617
Maximum84.9036
Range52.0381
Interquartile range (IQR)14.7498

Descriptive statistics

Standard deviation10.64000037
Coefficient of variation (CV)0.197196962
Kurtosis-0.5338381946
Mean53.95620836
Median Absolute Deviation (MAD)7.5981
Skewness-0.1505863467
Sum80071.0132
Variance113.2096078
MonotonicityNot monotonic
2022-09-20T22:38:56.620705image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51.1797175
 
6.3%
32.865586
 
3.1%
63.346576
 
2.7%
58.012361
 
2.2%
71.261745
 
1.6%
56.489130
 
1.1%
49.044329
 
1.0%
35.896128
 
1.0%
52.875626
 
0.9%
65.359523
 
0.8%
Other values (267)905
32.4%
(Missing)1312
46.9%
ValueCountFrequency (%)
32.865586
3.1%
35.896128
 
1.0%
36.52536
 
0.2%
36.55539
 
0.3%
36.79263
 
0.1%
ValueCountFrequency (%)
84.90361
 
< 0.1%
78.78941
 
< 0.1%
78.37112
0.1%
78.33141
 
< 0.1%
78.01293
0.1%

PROMISDepressionBankv1_SE
Real number (ℝ≥0)

MISSING

Distinct190
Distinct (%)28.7%
Missing2133
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean2.66352267
Minimum2.01901
Maximum5.64171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:56.731684image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.01901
5-th percentile2.07409
Q12.20813
median2.46789
Q32.74549
95-th percentile5.15964
Maximum5.64171
Range3.6227
Interquartile range (IQR)0.53736

Descriptive statistics

Standard deviation0.7839901664
Coefficient of variation (CV)0.2943433429
Kurtosis5.151143303
Mean2.66352267
Median Absolute Deviation (MAD)0.27191
Skewness2.42382959
Sum1765.91553
Variance0.614640581
MonotonicityNot monotonic
2022-09-20T22:38:56.846884image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.1596448
 
1.7%
2.0740931
 
1.1%
2.4818728
 
1.0%
2.0190124
 
0.9%
2.4683423
 
0.8%
2.1503221
 
0.8%
2.2148418
 
0.6%
2.562214
 
0.5%
2.1587414
 
0.5%
2.1794113
 
0.5%
Other values (180)429
 
15.3%
(Missing)2133
76.3%
ValueCountFrequency (%)
2.0190124
0.9%
2.0740931
1.1%
2.093996
 
0.2%
2.110842
 
0.1%
2.1321710
 
0.4%
ValueCountFrequency (%)
5.641711
 
< 0.1%
5.336681
 
< 0.1%
5.1596448
1.7%
3.758232
 
0.1%
3.591611
 
< 0.1%

PROMISDepressionBankv1_Theta
Real number (ℝ≥0)

MISSING

Distinct190
Distinct (%)28.7%
Missing2133
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean53.30459548
Minimum34.1675
Maximum84.3583
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:56.961916image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum34.1675
5-th percentile34.1675
Q148.1083
median54.3181
Q359.3579
95-th percentile67.6768
Maximum84.3583
Range50.1908
Interquartile range (IQR)11.2496

Descriptive statistics

Standard deviation9.454835463
Coefficient of variation (CV)0.1773737401
Kurtosis-0.2248260432
Mean53.30459548
Median Absolute Deviation (MAD)6.1409
Skewness-0.1959401706
Sum35340.9468
Variance89.39391363
MonotonicityNot monotonic
2022-09-20T22:38:57.068783image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.167548
 
1.7%
54.997931
 
1.1%
49.912228
 
1.0%
57.464824
 
0.9%
51.176723
 
0.8%
62.172821
 
0.8%
53.25918
 
0.6%
51.285814
 
0.5%
64.020414
 
0.5%
69.452713
 
0.5%
Other values (180)429
 
15.3%
(Missing)2133
76.3%
ValueCountFrequency (%)
34.167548
1.7%
34.8751
 
< 0.1%
36.9851
 
< 0.1%
38.05412
 
0.1%
38.51662
 
0.1%
ValueCountFrequency (%)
84.35831
< 0.1%
76.40941
< 0.1%
75.76312
0.1%
73.30792
0.1%
73.15581
< 0.1%

PROMISFatigueBankv1_SE
Real number (ℝ≥0)

MISSING

Distinct167
Distinct (%)11.2%
Missing1302
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean2.341115636
Minimum2.10632
Maximum4.47053
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:57.176185image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.10632
5-th percentile2.10632
Q12.19522
median2.24839
Q32.35856
95-th percentile2.8881
Maximum4.47053
Range2.36421
Interquartile range (IQR)0.16334

Descriptive statistics

Standard deviation0.2534929584
Coefficient of variation (CV)0.1082787003
Kurtosis9.877404478
Mean2.341115636
Median Absolute Deviation (MAD)0.06367
Skewness2.276254876
Sum3497.62676
Variance0.06425867996
MonotonicityNot monotonic
2022-09-20T22:38:57.440409image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.10632174
 
6.2%
2.19522151
 
5.4%
2.2483988
 
3.1%
2.2835663
 
2.3%
2.1847251
 
1.8%
2.888149
 
1.8%
2.1207242
 
1.5%
2.2734135
 
1.3%
2.1816234
 
1.2%
2.8106831
 
1.1%
Other values (157)776
27.8%
(Missing)1302
46.6%
ValueCountFrequency (%)
2.10632174
6.2%
2.1207242
 
1.5%
2.163616
 
0.6%
2.1816234
 
1.2%
2.1847251
 
1.8%
ValueCountFrequency (%)
4.470533
0.1%
3.28551
 
< 0.1%
3.245411
 
< 0.1%
2.998871
 
< 0.1%
2.977192
0.1%

PROMISFatigueBankv1_Theta
Real number (ℝ≥0)

MISSING

Distinct167
Distinct (%)11.2%
Missing1302
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean56.76577925
Minimum24.2811
Maximum84.6753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:57.550807image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum24.2811
5-th percentile39.0527
Q150.6936
median57.1244
Q362.6823
95-th percentile73.07457
Maximum84.6753
Range60.3942
Interquartile range (IQR)11.9887

Descriptive statistics

Standard deviation9.104737277
Coefficient of variation (CV)0.1603913026
Kurtosis0.3516018644
Mean56.76577925
Median Absolute Deviation (MAD)6.4308
Skewness-0.3566756401
Sum84808.0742
Variance82.89624089
MonotonicityNot monotonic
2022-09-20T22:38:57.656516image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.1244174
 
6.2%
64.0349151
 
5.4%
48.475588
 
3.1%
50.693663
 
2.3%
55.387351
 
1.8%
73.935349
 
1.8%
59.12242
 
1.5%
47.253735
 
1.3%
58.661734
 
1.2%
39.052731
 
1.1%
Other values (157)776
27.8%
(Missing)1302
46.6%
ValueCountFrequency (%)
24.28113
0.1%
29.04391
 
< 0.1%
30.77992
 
0.1%
32.42061
 
< 0.1%
32.61795
0.2%
ValueCountFrequency (%)
84.67531
 
< 0.1%
80.60731
 
< 0.1%
77.69692
 
0.1%
76.032811
0.4%
75.23162
 
0.1%

PROMISPainBehaviorBankv1_SE
Real number (ℝ≥0)

MISSING

Distinct134
Distinct (%)42.0%
Missing2477
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean2.251427586
Minimum1.38066
Maximum4.93218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:57.769171image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.38066
5-th percentile1.43584
Q11.54752
median1.68802
Q32.002045
95-th percentile4.91799
Maximum4.93218
Range3.55152
Interquartile range (IQR)0.454525

Descriptive statistics

Standard deviation1.238086925
Coefficient of variation (CV)0.549911946
Kurtosis0.8274551031
Mean2.251427586
Median Absolute Deviation (MAD)0.16795
Skewness1.630090158
Sum718.2054
Variance1.532859234
MonotonicityNot monotonic
2022-09-20T22:38:57.877492image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.9179953
 
1.9%
1.5838912
 
0.4%
1.7871410
 
0.4%
1.525559
 
0.3%
1.591238
 
0.3%
1.483438
 
0.3%
1.546765
 
0.2%
1.79765
 
0.2%
1.380665
 
0.2%
1.639274
 
0.1%
Other values (124)200
 
7.2%
(Missing)2477
88.6%
ValueCountFrequency (%)
1.380665
0.2%
1.385312
 
0.1%
1.405193
0.1%
1.40584
0.1%
1.426481
 
< 0.1%
ValueCountFrequency (%)
4.932181
 
< 0.1%
4.9179953
1.9%
4.909051
 
< 0.1%
2.556061
 
< 0.1%
2.468361
 
< 0.1%

PROMISPainBehaviorBankv1_Theta
Real number (ℝ≥0)

MISSING

Distinct134
Distinct (%)42.0%
Missing2477
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean54.1098674
Minimum35.185
Maximum70.2442
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:57.993532image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum35.185
5-th percentile35.2957
Q152.2602
median57.3776
Q360.5031
95-th percentile64.43432
Maximum70.2442
Range35.0592
Interquartile range (IQR)8.2429

Descriptive statistics

Standard deviation9.694972192
Coefficient of variation (CV)0.1791719821
Kurtosis-0.1768270909
Mean54.1098674
Median Absolute Deviation (MAD)3.4995
Skewness-1.045222189
Sum17261.0477
Variance93.9924858
MonotonicityNot monotonic
2022-09-20T22:38:58.097998image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.295753
 
1.9%
58.53712
 
0.4%
58.666510
 
0.4%
56.33889
 
0.3%
57.49578
 
0.3%
55.37328
 
0.3%
57.37765
 
0.2%
51.18415
 
0.2%
60.01485
 
0.2%
55.21624
 
0.1%
Other values (124)200
 
7.2%
(Missing)2477
88.6%
ValueCountFrequency (%)
35.1851
 
< 0.1%
35.295753
1.9%
35.5111
 
< 0.1%
40.90041
 
< 0.1%
40.96971
 
< 0.1%
ValueCountFrequency (%)
70.24421
 
< 0.1%
68.48281
 
< 0.1%
67.2913
0.1%
67.28721
 
< 0.1%
67.242
0.1%

PROMISPainImpactBankv1_SE
Real number (ℝ≥0)

MISSING

Distinct100
Distinct (%)31.3%
Missing2477
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean2.426948056
Minimum1.54972
Maximum5.62687
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:58.210430image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.54972
5-th percentile1.58383
Q11.658655
median1.76573
Q32.3288
95-th percentile5.61403
Maximum5.62687
Range4.07715
Interquartile range (IQR)0.670145

Descriptive statistics

Standard deviation1.379578284
Coefficient of variation (CV)0.5684416195
Kurtosis1.411570732
Mean2.426948056
Median Absolute Deviation (MAD)0.14783
Skewness1.773827835
Sum774.19643
Variance1.903236241
MonotonicityNot monotonic
2022-09-20T22:38:58.320153image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.6140347
 
1.7%
1.6947231
 
1.1%
1.617921
 
0.8%
1.5497216
 
0.6%
2.328811
 
0.4%
1.6228510
 
0.4%
2.269387
 
0.3%
2.988427
 
0.3%
1.678916
 
0.2%
1.861286
 
0.2%
Other values (90)157
 
5.6%
(Missing)2477
88.6%
ValueCountFrequency (%)
1.5497216
0.6%
1.587622
 
0.1%
1.593023
 
0.1%
1.60961
 
< 0.1%
1.615334
 
0.1%
ValueCountFrequency (%)
5.626871
 
< 0.1%
5.6140347
1.7%
2.992441
 
< 0.1%
2.988427
 
0.3%
2.968331
 
< 0.1%

PROMISPainImpactBankv1_Theta
Real number (ℝ≥0)

MISSING

Distinct100
Distinct (%)31.3%
Missing2477
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean57.97057335
Minimum38.3749
Maximum80.0746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:58.446892image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum38.3749
5-th percentile38.5844
Q152.5697
median59.0017
Q365.6837
95-th percentile73.7037
Maximum80.0746
Range41.6997
Interquartile range (IQR)13.114

Descriptive statistics

Standard deviation10.52906218
Coefficient of variation (CV)0.1816277048
Kurtosis-0.4981082697
Mean57.97057335
Median Absolute Deviation (MAD)6.4985
Skewness-0.5139817942
Sum18492.6129
Variance110.8611504
MonotonicityNot monotonic
2022-09-20T22:38:58.550016image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.584447
 
1.7%
55.978531
 
1.1%
66.87121
 
0.8%
61.547116
 
0.6%
73.703711
 
0.4%
64.177410
 
0.4%
50.12337
 
0.3%
46.64147
 
0.3%
57.3256
 
0.2%
52.56976
 
0.2%
Other values (90)157
 
5.6%
(Missing)2477
88.6%
ValueCountFrequency (%)
38.37491
 
< 0.1%
38.584447
1.7%
44.82991
 
< 0.1%
46.64147
 
0.3%
47.14871
 
< 0.1%
ValueCountFrequency (%)
80.07461
 
< 0.1%
77.78443
 
0.1%
75.27761
 
< 0.1%
74.11314
 
0.1%
73.703711
0.4%

PROMISPhyFunctionBankv1_SE
Real number (ℝ≥0)

MISSING

Distinct290
Distinct (%)19.3%
Missing1297
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean2.123123029
Minimum1.80236
Maximum2.99443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:58.664348image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.80236
5-th percentile1.8625
Q11.91603
median2.03574
Q32.24881
95-th percentile2.753002
Maximum2.99443
Range1.19207
Interquartile range (IQR)0.33278

Descriptive statistics

Standard deviation0.2721066833
Coefficient of variation (CV)0.1281634082
Kurtosis1.159436137
Mean2.123123029
Median Absolute Deviation (MAD)0.14207
Skewness1.314944562
Sum3182.56142
Variance0.07404204712
MonotonicityNot monotonic
2022-09-20T22:38:58.945707image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9217372
 
2.6%
1.8936758
 
2.1%
1.9538754
 
1.9%
2.4127741
 
1.5%
2.2488134
 
1.2%
1.8023633
 
1.2%
2.0917732
 
1.1%
1.8778131
 
1.1%
1.971830
 
1.1%
1.862529
 
1.0%
Other values (280)1085
38.8%
(Missing)1297
46.4%
ValueCountFrequency (%)
1.8023633
1.2%
1.8329915
0.5%
1.8476810
 
0.4%
1.853867
 
0.3%
1.862529
1.0%
ValueCountFrequency (%)
2.994431
 
< 0.1%
2.992242
0.1%
2.989131
 
< 0.1%
2.987514
0.1%
2.977951
 
< 0.1%

PROMISPhyFunctionBankv1_Theta
Real number (ℝ≥0)

MISSING

Distinct291
Distinct (%)19.4%
Missing1297
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean36.95573469
Minimum15.3995
Maximum60.7807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:59.060628image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum15.3995
5-th percentile27.1544
Q132.5468
median36.8794
Q340.5805
95-th percentile48.7432
Maximum60.7807
Range45.3812
Interquartile range (IQR)8.0337

Descriptive statistics

Standard deviation6.383597767
Coefficient of variation (CV)0.1727363241
Kurtosis0.5343724039
Mean36.95573469
Median Absolute Deviation (MAD)3.7846
Skewness0.3176265256
Sum55396.6463
Variance40.75032045
MonotonicityNot monotonic
2022-09-20T22:38:59.166092image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.580572
 
2.6%
34.657358
 
2.1%
32.546854
 
1.9%
27.154441
 
1.5%
29.582734
 
1.2%
38.286433
 
1.2%
30.873232
 
1.1%
41.968831
 
1.1%
35.664430
 
1.1%
39.280729
 
1.0%
Other values (281)1085
38.8%
(Missing)1297
46.4%
ValueCountFrequency (%)
15.39951
 
< 0.1%
17.74862
0.1%
20.02744
0.1%
21.48642
0.1%
22.16152
0.1%
ValueCountFrequency (%)
60.78071
< 0.1%
60.39211
< 0.1%
60.07471
< 0.1%
59.69631
< 0.1%
58.69731
< 0.1%

PROMISSocialSatDSABankv1_SE
Real number (ℝ≥0)

MISSING

Distinct145
Distinct (%)21.1%
Missing2109
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean2.342822635
Minimum1.9165
Maximum5.4657
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:59.274764image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.9165
5-th percentile1.9165
Q12.00901
median2.09832
Q32.46146
95-th percentile4.15973
Maximum5.4657
Range3.5492
Interquartile range (IQR)0.45245

Descriptive statistics

Standard deviation0.5618494861
Coefficient of variation (CV)0.2398173373
Kurtosis6.359785373
Mean2.342822635
Median Absolute Deviation (MAD)0.10626
Skewness2.453675724
Sum1609.51915
Variance0.315674845
MonotonicityNot monotonic
2022-09-20T22:38:59.379558image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9951482
 
2.9%
1.916555
 
2.0%
1.9920626
 
0.9%
4.1597323
 
0.8%
2.0516120
 
0.7%
2.6409418
 
0.6%
2.9980917
 
0.6%
2.0113814
 
0.5%
2.0327114
 
0.5%
2.2058313
 
0.5%
Other values (135)405
 
14.5%
(Missing)2109
75.4%
ValueCountFrequency (%)
1.916555
2.0%
1.977514
 
0.1%
1.9920626
 
0.9%
1.9951482
2.9%
2.006645
 
0.2%
ValueCountFrequency (%)
5.46571
 
< 0.1%
4.5280812
0.4%
4.1597323
0.8%
3.009871
 
< 0.1%
2.9980917
0.6%

PROMISSocialSatDSABankv1_Theta
Real number (ℝ≥0)

MISSING

Distinct145
Distinct (%)21.1%
Missing2109
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean43.72640116
Minimum26.8257
Maximum68.9466
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:59.491904image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum26.8257
5-th percentile30.2922
Q138.62955
median43.2071
Q347.657
95-th percentile56.38455
Maximum68.9466
Range42.1209
Interquartile range (IQR)9.02745

Descriptive statistics

Standard deviation8.035623918
Coefficient of variation (CV)0.18377053
Kurtosis0.7785001946
Mean43.72640116
Median Absolute Deviation (MAD)4.4499
Skewness0.3638404032
Sum30040.0376
Variance64.57125176
MonotonicityNot monotonic
2022-09-20T22:38:59.595794image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.65782
 
2.9%
41.726555
 
2.0%
53.997526
 
0.9%
26.825723
 
0.8%
43.207120
 
0.7%
36.15918
 
0.6%
30.292217
 
0.6%
43.031514
 
0.5%
40.406214
 
0.5%
38.447813
 
0.5%
Other values (135)405
 
14.5%
(Missing)2109
75.4%
ValueCountFrequency (%)
26.825723
0.8%
30.292217
0.6%
31.217612
0.4%
31.4453
 
0.1%
31.58881
 
< 0.1%
ValueCountFrequency (%)
68.946612
0.4%
65.12121
 
< 0.1%
63.6691
 
< 0.1%
63.44381
 
< 0.1%
62.52791
 
< 0.1%

PROMISSocialSatSRBankv1_SE
Real number (ℝ≥0)

MISSING

Distinct195
Distinct (%)28.4%
Missing2109
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean2.302232052
Minimum1.82928
Maximum4.71408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:59.701346image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.82928
5-th percentile1.90439
Q11.96948
median2.0768
Q32.518345
95-th percentile3.92808
Maximum4.71408
Range2.8848
Interquartile range (IQR)0.548865

Descriptive statistics

Standard deviation0.5307392381
Coefficient of variation (CV)0.2305324685
Kurtosis5.593573112
Mean2.302232052
Median Absolute Deviation (MAD)0.13544
Skewness2.240895186
Sum1581.63342
Variance0.2816841389
MonotonicityNot monotonic
2022-09-20T22:38:59.810163image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9413674
 
2.6%
2.0283140
 
1.4%
1.8292834
 
1.2%
3.9280828
 
1.0%
1.9712817
 
0.6%
1.957213
 
0.5%
1.9043912
 
0.4%
2.8242311
 
0.4%
2.6680210
 
0.4%
2.1951110
 
0.4%
Other values (185)438
 
15.7%
(Missing)2109
75.4%
ValueCountFrequency (%)
1.8292834
1.2%
1.9043912
 
0.4%
1.910845
 
0.2%
1.914678
 
0.3%
1.920158
 
0.3%
ValueCountFrequency (%)
4.714087
 
0.3%
4.103281
 
< 0.1%
3.989891
 
< 0.1%
3.9280828
1.0%
3.003111
 
< 0.1%

PROMISSocialSatSRBankv1_Theta
Real number (ℝ≥0)

MISSING

Distinct196
Distinct (%)28.5%
Missing2109
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean42.34218748
Minimum25.0742
Maximum67.7818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:38:59.935705image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum25.0742
5-th percentile29.1716
Q137.32685
median41.9186
Q346.70105
95-th percentile56.214
Maximum67.7818
Range42.7076
Interquartile range (IQR)9.3742

Descriptive statistics

Standard deviation8.344113751
Coefficient of variation (CV)0.1970638327
Kurtosis0.2390639136
Mean42.34218748
Median Absolute Deviation (MAD)4.7824
Skewness0.2211305545
Sum29089.0828
Variance69.62423429
MonotonicityNot monotonic
2022-09-20T22:39:00.042219image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44.680974
 
2.6%
51.580140
 
1.4%
38.71534
 
1.2%
25.074228
 
1.0%
43.30317
 
0.6%
41.918613
 
0.5%
40.473312
 
0.4%
30.866711
 
0.4%
34.713610
 
0.4%
32.350610
 
0.4%
Other values (186)438
 
15.7%
(Missing)2109
75.4%
ValueCountFrequency (%)
25.074228
1.0%
25.37751
 
< 0.1%
26.84871
 
< 0.1%
28.45422
 
0.1%
29.17169
 
0.3%
ValueCountFrequency (%)
67.78187
0.3%
63.53211
 
< 0.1%
63.31511
 
< 0.1%
63.26711
 
< 0.1%
63.10021
 
< 0.1%

An1_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.928571429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:00.131876image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3.7
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.141138818
Coefficient of variation (CV)0.5917016094
Kurtosis3.093822377
Mean1.928571429
Median Absolute Deviation (MAD)1
Skewness1.608430989
Sum27
Variance1.302197802
MonotonicityNot monotonic
2022-09-20T22:39:00.205260image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
16
 
0.2%
25
 
0.2%
32
 
0.1%
51
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
16
0.2%
25
0.2%
32
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
32
 
0.1%
25
0.2%
16
0.2%

An2_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)7.6%
Missing2730
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean1.378787879
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:00.444626image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7993295559
Coefficient of variation (CV)0.5797335241
Kurtosis7.160911344
Mean1.378787879
Median Absolute Deviation (MAD)0
Skewness2.554157352
Sum91
Variance0.6389277389
MonotonicityNot monotonic
2022-09-20T22:39:00.517247image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
150
 
1.8%
210
 
0.4%
34
 
0.1%
41
 
< 0.1%
51
 
< 0.1%
(Missing)2730
97.6%
ValueCountFrequency (%)
150
1.8%
210
 
0.4%
34
 
0.1%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
34
 
0.1%
210
 
0.4%
150
1.8%

An3_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1478
Missing (%)52.9%
Infinite0
Infinite (%)0.0%
Mean2.935508346
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:00.597097image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9787096589
Coefficient of variation (CV)0.3334038073
Kurtosis-0.5968225736
Mean2.935508346
Median Absolute Deviation (MAD)1
Skewness-0.08969459083
Sum3869
Variance0.9578725964
MonotonicityNot monotonic
2022-09-20T22:39:00.669304image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3474
 
17.0%
4354
 
12.7%
2349
 
12.5%
193
 
3.3%
548
 
1.7%
(Missing)1478
52.9%
ValueCountFrequency (%)
193
 
3.3%
2349
12.5%
3474
17.0%
4354
12.7%
548
 
1.7%
ValueCountFrequency (%)
548
 
1.7%
4354
12.7%
3474
17.0%
2349
12.5%
193
 
3.3%

An4_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.428571429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:00.750543image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4.35
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.157868447
Coefficient of variation (CV)0.4767693605
Kurtosis0.4424274999
Mean2.428571429
Median Absolute Deviation (MAD)1
Skewness0.7220730264
Sum34
Variance1.340659341
MonotonicityNot monotonic
2022-09-20T22:39:00.825877image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
25
 
0.2%
34
 
0.1%
13
 
0.1%
41
 
< 0.1%
51
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
13
0.1%
25
0.2%
34
0.1%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
34
0.1%
25
0.2%
13
0.1%

An5_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)10.9%
Missing2750
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean2.891304348
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:00.904462image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.139751647
Coefficient of variation (CV)0.3941998177
Kurtosis-0.5658588198
Mean2.891304348
Median Absolute Deviation (MAD)1
Skewness0.03328121258
Sum133
Variance1.299033816
MonotonicityNot monotonic
2022-09-20T22:39:00.980433image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
317
 
0.6%
210
 
0.4%
49
 
0.3%
16
 
0.2%
54
 
0.1%
(Missing)2750
98.4%
ValueCountFrequency (%)
16
 
0.2%
210
0.4%
317
0.6%
49
0.3%
54
 
0.1%
ValueCountFrequency (%)
54
 
0.1%
49
0.3%
317
0.6%
210
0.4%
16
 
0.2%

An7_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.928571429
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:01.060742image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33.75
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation0.8287419302
Coefficient of variation (CV)0.2829850493
Kurtosis-1.508945455
Mean2.928571429
Median Absolute Deviation (MAD)1
Skewness0.14479779
Sum41
Variance0.6868131868
MonotonicityNot monotonic
2022-09-20T22:39:01.131897image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
35
 
0.2%
25
 
0.2%
44
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
25
0.2%
35
0.2%
44
0.1%
ValueCountFrequency (%)
44
0.1%
35
0.2%
25
0.2%

An8_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.214285714
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:01.208718image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32.75
95-th percentile3.35
Maximum4
Range3
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.8017837257
Coefficient of variation (CV)0.3620958761
Kurtosis0.8013468013
Mean2.214285714
Median Absolute Deviation (MAD)0
Skewness0.6076195756
Sum31
Variance0.6428571429
MonotonicityNot monotonic
2022-09-20T22:39:01.278016image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
28
 
0.3%
33
 
0.1%
12
 
0.1%
41
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
12
 
0.1%
28
0.3%
33
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
33
 
0.1%
28
0.3%
12
 
0.1%

An12_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.533333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:01.355541image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.5
95-th percentile3.6
Maximum5
Range4
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.125462868
Coefficient of variation (CV)0.7339975224
Kurtosis6.507107851
Mean1.533333333
Median Absolute Deviation (MAD)0
Skewness2.506262704
Sum23
Variance1.266666667
MonotonicityNot monotonic
2022-09-20T22:39:01.435140image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
111
 
0.4%
22
 
0.1%
51
 
< 0.1%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
111
0.4%
22
 
0.1%
31
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
31
 
< 0.1%
22
 
0.1%
111
0.4%

An14_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.928571429
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:01.513158image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.75
95-th percentile3.35
Maximum4
Range3
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation0.9972489632
Coefficient of variation (CV)0.517092055
Kurtosis-0.5217012468
Mean1.928571429
Median Absolute Deviation (MAD)1
Skewness0.703593069
Sum27
Variance0.9945054945
MonotonicityNot monotonic
2022-09-20T22:39:01.580182image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
16
 
0.2%
24
 
0.1%
33
 
0.1%
41
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
16
0.2%
24
0.1%
33
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
33
0.1%
24
0.1%
16
0.2%

An15_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)29.4%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.176470588
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:01.656806image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.42457424
Coefficient of variation (CV)0.6545341102
Kurtosis-0.2322981366
Mean2.176470588
Median Absolute Deviation (MAD)1
Skewness0.9730850421
Sum37
Variance2.029411765
MonotonicityNot monotonic
2022-09-20T22:39:01.731616image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
18
 
0.3%
23
 
0.1%
33
 
0.1%
52
 
0.1%
41
 
< 0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
18
0.3%
23
 
0.1%
33
 
0.1%
41
 
< 0.1%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
41
 
< 0.1%
33
 
0.1%
23
 
0.1%
18
0.3%

An16_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.285714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:01.813175image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.35
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.266647388
Coefficient of variation (CV)0.5541582321
Kurtosis-0.1498063768
Mean2.285714286
Median Absolute Deviation (MAD)1
Skewness0.6975592833
Sum32
Variance1.604395604
MonotonicityNot monotonic
2022-09-20T22:39:01.887230image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
15
 
0.2%
34
 
0.1%
23
 
0.1%
41
 
< 0.1%
51
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
15
0.2%
23
0.1%
34
0.1%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
34
0.1%
23
0.1%
15
0.2%

EDANG01_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)8.1%
Missing2734
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1.629032258
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:01.968404image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.95
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9274302761
Coefficient of variation (CV)0.5693136348
Kurtosis2.813293908
Mean1.629032258
Median Absolute Deviation (MAD)0
Skewness1.710679009
Sum101
Variance0.860126917
MonotonicityNot monotonic
2022-09-20T22:39:02.043729image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
136
 
1.3%
218
 
0.6%
34
 
0.1%
43
 
0.1%
51
 
< 0.1%
(Missing)2734
97.8%
ValueCountFrequency (%)
136
1.3%
218
0.6%
34
 
0.1%
43
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
43
 
0.1%
34
 
0.1%
218
0.6%
136
1.3%

EDANG03_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)3.0%
Missing2628
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean1.720238095
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:02.316591image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8611758793
Coefficient of variation (CV)0.500614352
Kurtosis1.876404581
Mean1.720238095
Median Absolute Deviation (MAD)1
Skewness1.315379085
Sum289
Variance0.7416238951
MonotonicityNot monotonic
2022-09-20T22:39:02.396783image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
181
 
2.9%
262
 
2.2%
318
 
0.6%
45
 
0.2%
52
 
0.1%
(Missing)2628
94.0%
ValueCountFrequency (%)
181
2.9%
262
2.2%
318
 
0.6%
45
 
0.2%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
45
 
0.2%
318
 
0.6%
262
2.2%
181
2.9%

EDANG03_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.9%
Missing2621
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean2.92
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:02.479352image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9851775031
Coefficient of variation (CV)0.3373895559
Kurtosis-0.4595988332
Mean2.92
Median Absolute Deviation (MAD)1
Skewness-0.09350460158
Sum511
Variance0.9705747126
MonotonicityNot monotonic
2022-09-20T22:39:02.553254image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
368
 
2.4%
243
 
1.5%
443
 
1.5%
114
 
0.5%
57
 
0.3%
(Missing)2621
93.7%
ValueCountFrequency (%)
114
 
0.5%
243
1.5%
368
2.4%
443
1.5%
57
 
0.3%
ValueCountFrequency (%)
57
 
0.3%
443
1.5%
368
2.4%
243
1.5%
114
 
0.5%

EDANG04_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.357142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:02.633153image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.05
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.081817762
Coefficient of variation (CV)0.7971288773
Kurtosis11.92633737
Mean1.357142857
Median Absolute Deviation (MAD)0
Skewness3.40671612
Sum19
Variance1.17032967
MonotonicityNot monotonic
2022-09-20T22:39:02.704982image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
112
 
0.4%
51
 
< 0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
112
0.4%
21
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
21
 
< 0.1%
112
0.4%

EDANG05_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)6.7%
Missing2736
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean1.983333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:02.782337image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8535403174
Coefficient of variation (CV)0.4303564626
Kurtosis-1.200052606
Mean1.983333333
Median Absolute Deviation (MAD)1
Skewness0.2015911307
Sum119
Variance0.7285310734
MonotonicityNot monotonic
2022-09-20T22:39:02.853384image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
121
 
0.8%
220
 
0.7%
318
 
0.6%
41
 
< 0.1%
(Missing)2736
97.9%
ValueCountFrequency (%)
121
0.8%
220
0.7%
318
0.6%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
318
0.6%
220
0.7%
121
0.8%

EDANG06_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.4%
Missing2588
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean1.620192308
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:02.931018image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8819039359
Coefficient of variation (CV)0.5443205302
Kurtosis2.508496586
Mean1.620192308
Median Absolute Deviation (MAD)0
Skewness1.591824372
Sum337
Variance0.7777545522
MonotonicityNot monotonic
2022-09-20T22:39:03.014458image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1120
 
4.3%
259
 
2.1%
320
 
0.7%
46
 
0.2%
53
 
0.1%
(Missing)2588
92.6%
ValueCountFrequency (%)
1120
4.3%
259
2.1%
320
 
0.7%
46
 
0.2%
53
 
0.1%
ValueCountFrequency (%)
53
 
0.1%
46
 
0.2%
320
 
0.7%
259
2.1%
1120
4.3%

EDANG06_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)3.7%
Missing2660
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean2.676470588
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:03.096023image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.060274967
Coefficient of variation (CV)0.3961466911
Kurtosis-0.7327263661
Mean2.676470588
Median Absolute Deviation (MAD)1
Skewness-0.0005892651252
Sum364
Variance1.124183007
MonotonicityNot monotonic
2022-09-20T22:39:03.168272image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
348
 
1.7%
235
 
1.3%
427
 
1.0%
122
 
0.8%
54
 
0.1%
(Missing)2660
95.1%
ValueCountFrequency (%)
122
0.8%
235
1.3%
348
1.7%
427
1.0%
54
 
0.1%
ValueCountFrequency (%)
54
 
0.1%
427
1.0%
348
1.7%
235
1.3%
122
0.8%

EDANG07_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.142857143
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:03.246802image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.7
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5345224838
Coefficient of variation (CV)0.4677071733
Kurtosis14
Mean1.142857143
Median Absolute Deviation (MAD)0
Skewness3.741657387
Sum16
Variance0.2857142857
MonotonicityNot monotonic
2022-09-20T22:39:03.318355image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
113
 
0.5%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
113
0.5%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
113
0.5%

EDANG09_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.6%
Missing2489
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean2.091205212
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:03.396646image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9136693494
Coefficient of variation (CV)0.436910421
Kurtosis-0.1462355695
Mean2.091205212
Median Absolute Deviation (MAD)1
Skewness0.5946058185
Sum642
Variance0.83479168
MonotonicityNot monotonic
2022-09-20T22:39:03.470197image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2131
 
4.7%
187
 
3.1%
365
 
2.3%
422
 
0.8%
52
 
0.1%
(Missing)2489
89.0%
ValueCountFrequency (%)
187
3.1%
2131
4.7%
365
2.3%
422
 
0.8%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
422
 
0.8%
365
2.3%
2131
4.7%
187
3.1%

EDANG09_SF
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)10.5%
Missing2758
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean2.657894737
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:03.549148image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9663616857
Coefficient of variation (CV)0.3635816243
Kurtosis-0.7162091772
Mean2.657894737
Median Absolute Deviation (MAD)1
Skewness-0.3798766587
Sum101
Variance0.9338549075
MonotonicityNot monotonic
2022-09-20T22:39:03.618715image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
317
 
0.6%
28
 
0.3%
47
 
0.3%
16
 
0.2%
(Missing)2758
98.6%
ValueCountFrequency (%)
16
 
0.2%
28
0.3%
317
0.6%
47
0.3%
ValueCountFrequency (%)
47
0.3%
317
0.6%
28
0.3%
16
 
0.2%

EDANG10_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)17.4%
Missing2773
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean1.347826087
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:03.696361image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8316847989
Coefficient of variation (CV)0.6170564637
Kurtosis4.638795569
Mean1.347826087
Median Absolute Deviation (MAD)0
Skewness2.349791311
Sum31
Variance0.6916996047
MonotonicityNot monotonic
2022-09-20T22:39:03.766495image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
119
 
0.7%
32
 
0.1%
41
 
< 0.1%
21
 
< 0.1%
(Missing)2773
99.2%
ValueCountFrequency (%)
119
0.7%
21
 
< 0.1%
32
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
32
 
0.1%
21
 
< 0.1%
119
0.7%

EDANG11_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)25.0%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.4375
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:03.844428image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile3.25
Maximum4
Range3
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.8920949127
Coefficient of variation (CV)0.6205877654
Kurtosis4.112452335
Mean1.4375
Median Absolute Deviation (MAD)0
Skewness2.145496527
Sum23
Variance0.7958333333
MonotonicityNot monotonic
2022-09-20T22:39:03.914310image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
112
 
0.4%
22
 
0.1%
41
 
< 0.1%
31
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
112
0.4%
22
 
0.1%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
31
 
< 0.1%
22
 
0.1%
112
0.4%

EDANG15_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.5%
Missing2594
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean2.306930693
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:04.156494image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.029346257
Coefficient of variation (CV)0.4461973045
Kurtosis-0.6478432051
Mean2.306930693
Median Absolute Deviation (MAD)1
Skewness0.3780601611
Sum466
Variance1.059553717
MonotonicityNot monotonic
2022-09-20T22:39:04.231266image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
269
 
2.5%
354
 
1.9%
151
 
1.8%
425
 
0.9%
53
 
0.1%
(Missing)2594
92.8%
ValueCountFrequency (%)
151
1.8%
269
2.5%
354
1.9%
425
 
0.9%
53
 
0.1%
ValueCountFrequency (%)
53
 
0.1%
425
 
0.9%
354
1.9%
269
2.5%
151
1.8%

EDANG15_SF
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)2.8%
Missing2652
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean1.3125
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:04.312484image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6419893688
Coefficient of variation (CV)0.4891347572
Kurtosis7.94379966
Mean1.3125
Median Absolute Deviation (MAD)0
Skewness2.501935981
Sum189
Variance0.4121503497
MonotonicityNot monotonic
2022-09-20T22:39:04.384352image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1110
 
3.9%
225
 
0.9%
38
 
0.3%
51
 
< 0.1%
(Missing)2652
94.8%
ValueCountFrequency (%)
1110
3.9%
225
 
0.9%
38
 
0.3%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
38
 
0.3%
225
 
0.9%
1110
3.9%

EDANG16_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)13.0%
Missing2773
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean1.347826087
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:04.461964image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.5
95-th percentile2.9
Maximum3
Range2
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.6472807212
Coefficient of variation (CV)0.4802405351
Kurtosis1.945461018
Mean1.347826087
Median Absolute Deviation (MAD)0
Skewness1.728150316
Sum31
Variance0.418972332
MonotonicityNot monotonic
2022-09-20T22:39:04.543989image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
117
 
0.6%
24
 
0.1%
32
 
0.1%
(Missing)2773
99.2%
ValueCountFrequency (%)
117
0.6%
24
 
0.1%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
24
 
0.1%
117
0.6%

EDANG17_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.6
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:04.625846image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.6
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.121223821
Coefficient of variation (CV)0.7007648882
Kurtosis5.885251113
Mean1.6
Median Absolute Deviation (MAD)0
Skewness2.343530639
Sum24
Variance1.257142857
MonotonicityNot monotonic
2022-09-20T22:39:04.697326image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
110
 
0.4%
23
 
0.1%
51
 
< 0.1%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
110
0.4%
23
 
0.1%
31
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
31
 
< 0.1%
23
 
0.1%
110
0.4%

EDANG18_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.285714286
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:04.775164image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.75
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.4688072309
Coefficient of variation (CV)0.3646278463
Kurtosis-1.034090909
Mean1.285714286
Median Absolute Deviation (MAD)0
Skewness1.06653645
Sum18
Variance0.2197802198
MonotonicityNot monotonic
2022-09-20T22:39:04.846303image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
110
 
0.4%
24
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
110
0.4%
24
 
0.1%
ValueCountFrequency (%)
24
 
0.1%
110
0.4%

EDANG21_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)11.4%
Missing2761
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean1.371428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:04.919061image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.6
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.002517839
Coefficient of variation (CV)0.7310025907
Kurtosis9.041445413
Mean1.371428571
Median Absolute Deviation (MAD)0
Skewness3.069043698
Sum48
Variance1.005042017
MonotonicityNot monotonic
2022-09-20T22:39:04.992160image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
129
 
1.0%
23
 
0.1%
52
 
0.1%
31
 
< 0.1%
(Missing)2761
98.7%
ValueCountFrequency (%)
129
1.0%
23
 
0.1%
31
 
< 0.1%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
31
 
< 0.1%
23
 
0.1%
129
1.0%

EDANG22_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.428571429
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:05.071958image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2.35
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6462061727
Coefficient of variation (CV)0.4523443209
Kurtosis0.9510198942
Mean1.428571429
Median Absolute Deviation (MAD)0
Skewness1.303152614
Sum20
Variance0.4175824176
MonotonicityNot monotonic
2022-09-20T22:39:05.141858image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
19
 
0.3%
24
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
19
0.3%
24
0.1%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
24
0.1%
19
0.3%

EDANG25_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.9%
Missing2625
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean2.105263158
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:05.220937image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.084937686
Coefficient of variation (CV)0.515345401
Kurtosis-0.1537487364
Mean2.105263158
Median Absolute Deviation (MAD)1
Skewness0.7671861948
Sum360
Variance1.177089783
MonotonicityNot monotonic
2022-09-20T22:39:05.295196image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
162
 
2.2%
254
 
1.9%
335
 
1.3%
415
 
0.5%
55
 
0.2%
(Missing)2625
93.9%
ValueCountFrequency (%)
162
2.2%
254
1.9%
335
1.3%
415
 
0.5%
55
 
0.2%
ValueCountFrequency (%)
55
 
0.2%
415
 
0.5%
335
1.3%
254
1.9%
162
2.2%

EDANG25_SF
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)1.7%
Missing2623
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean1.132947977
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:05.375100image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3883641642
Coefficient of variation (CV)0.3427908184
Kurtosis9.149746358
Mean1.132947977
Median Absolute Deviation (MAD)0
Skewness3.037249196
Sum196
Variance0.150826724
MonotonicityNot monotonic
2022-09-20T22:39:05.448494image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1153
 
5.5%
217
 
0.6%
33
 
0.1%
(Missing)2623
93.8%
ValueCountFrequency (%)
1153
5.5%
217
 
0.6%
33
 
0.1%
ValueCountFrequency (%)
33
 
0.1%
217
 
0.6%
1153
5.5%

EDANG26_Bank
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)7.1%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:05.526685image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum14
Variance0
MonotonicityIncreasing
2022-09-20T22:39:05.594057image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
114
 
0.5%
(Missing)2782
99.5%
ValueCountFrequency (%)
114
0.5%
ValueCountFrequency (%)
114
0.5%

EDANG28_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.6%
Missing2604
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean2.151041667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:05.666316image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.064957762
Coefficient of variation (CV)0.4950893228
Kurtosis0.04552460476
Mean2.151041667
Median Absolute Deviation (MAD)1
Skewness0.7454734324
Sum413
Variance1.134135035
MonotonicityNot monotonic
2022-09-20T22:39:05.739615image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
263
 
2.3%
163
 
2.3%
347
 
1.7%
412
 
0.4%
57
 
0.3%
(Missing)2604
93.1%
ValueCountFrequency (%)
163
2.3%
263
2.3%
347
1.7%
412
 
0.4%
57
 
0.3%
ValueCountFrequency (%)
57
 
0.3%
412
 
0.4%
347
1.7%
263
2.3%
163
2.3%

EDANG28_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)3.3%
Missing2644
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean1.552631579
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:05.985261image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9614384483
Coefficient of variation (CV)0.619231543
Kurtosis2.149184785
Mean1.552631579
Median Absolute Deviation (MAD)0
Skewness1.728744519
Sum236
Variance0.9243638899
MonotonicityNot monotonic
2022-09-20T22:39:06.065595image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1105
 
3.8%
222
 
0.8%
315
 
0.5%
48
 
0.3%
52
 
0.1%
(Missing)2644
94.6%
ValueCountFrequency (%)
1105
3.8%
222
 
0.8%
315
 
0.5%
48
 
0.3%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
48
 
0.3%
315
 
0.5%
222
 
0.8%
1105
3.8%

EDANG30_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2461
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean2.444776119
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:06.146297image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9890544057
Coefficient of variation (CV)0.4045582734
Kurtosis-0.2627519433
Mean2.444776119
Median Absolute Deviation (MAD)1
Skewness0.3784321083
Sum819
Variance0.9782286174
MonotonicityNot monotonic
2022-09-20T22:39:06.219625image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2125
 
4.5%
3106
 
3.8%
158
 
2.1%
437
 
1.3%
59
 
0.3%
(Missing)2461
88.0%
ValueCountFrequency (%)
158
2.1%
2125
4.5%
3106
3.8%
437
 
1.3%
59
 
0.3%
ValueCountFrequency (%)
59
 
0.3%
437
 
1.3%
3106
3.8%
2125
4.5%
158
2.1%

EDANG30_SF
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)25.0%
Missing2784
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:06.299966image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7784989442
Coefficient of variation (CV)0.4670993665
Kurtosis-0.792
Mean1.666666667
Median Absolute Deviation (MAD)0.5
Skewness0.7193330244
Sum20
Variance0.6060606061
MonotonicityNot monotonic
2022-09-20T22:39:06.372212image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
16
 
0.2%
24
 
0.1%
32
 
0.1%
(Missing)2784
99.6%
ValueCountFrequency (%)
16
0.2%
24
0.1%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
24
0.1%
16
0.2%

EDANG31_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)3.7%
Missing2687
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean1.458715596
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:06.451298image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6876167927
Coefficient of variation (CV)0.4713850969
Kurtosis5.542911487
Mean1.458715596
Median Absolute Deviation (MAD)0
Skewness1.891797631
Sum159
Variance0.4728168536
MonotonicityNot monotonic
2022-09-20T22:39:06.526314image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
168
 
2.4%
234
 
1.2%
36
 
0.2%
51
 
< 0.1%
(Missing)2687
96.1%
ValueCountFrequency (%)
168
2.4%
234
1.2%
36
 
0.2%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
36
 
0.2%
234
1.2%
168
2.4%

EDANG35_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.5%
Missing2597
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean2.020100503
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:06.607754image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7782380968
Coefficient of variation (CV)0.3852472171
Kurtosis1.135876048
Mean2.020100503
Median Absolute Deviation (MAD)0
Skewness0.6793849569
Sum402
Variance0.6056545353
MonotonicityNot monotonic
2022-09-20T22:39:06.679466image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2104
 
3.7%
149
 
1.8%
341
 
1.5%
43
 
0.1%
52
 
0.1%
(Missing)2597
92.9%
ValueCountFrequency (%)
149
1.8%
2104
3.7%
341
 
1.5%
43
 
0.1%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
43
 
0.1%
341
 
1.5%
2104
3.7%
149
1.8%

EDANG35_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)3.4%
Missing2649
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean2.904761905
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:06.760400image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8627237318
Coefficient of variation (CV)0.2970032519
Kurtosis-0.1431954014
Mean2.904761905
Median Absolute Deviation (MAD)1
Skewness-0.2684586746
Sum427
Variance0.7442922374
MonotonicityNot monotonic
2022-09-20T22:39:06.835891image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
370
 
2.5%
233
 
1.2%
433
 
1.2%
19
 
0.3%
52
 
0.1%
(Missing)2649
94.7%
ValueCountFrequency (%)
19
 
0.3%
233
1.2%
370
2.5%
433
1.2%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
433
1.2%
370
2.5%
233
1.2%
19
 
0.3%

EDANG37_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.285714286
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:06.916981image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.35
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6112498455
Coefficient of variation (CV)0.4754165465
Kurtosis4.250865052
Mean1.285714286
Median Absolute Deviation (MAD)0
Skewness2.165283839
Sum18
Variance0.3736263736
MonotonicityNot monotonic
2022-09-20T22:39:06.989576image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
111
 
0.4%
22
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
111
0.4%
22
 
0.1%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
22
 
0.1%
111
0.4%

EDANG42_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.071428571
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:07.066348image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.35
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2672612419
Coefficient of variation (CV)0.2494438258
Kurtosis14
Mean1.071428571
Median Absolute Deviation (MAD)0
Skewness3.741657387
Sum15
Variance0.07142857143
MonotonicityNot monotonic
2022-09-20T22:39:07.137538image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
113
 
0.5%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
113
0.5%
21
 
< 0.1%
ValueCountFrequency (%)
21
 
< 0.1%
113
0.5%

EDANG45_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)11.5%
Missing2770
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean1.423076923
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:07.210534image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2.75
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6433087547
Coefficient of variation (CV)0.4520548006
Kurtosis0.6686282486
Mean1.423076923
Median Absolute Deviation (MAD)0
Skewness1.285755153
Sum37
Variance0.4138461538
MonotonicityNot monotonic
2022-09-20T22:39:07.283192image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
117
 
0.6%
27
 
0.3%
32
 
0.1%
(Missing)2770
99.1%
ValueCountFrequency (%)
117
0.6%
27
0.3%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
27
0.3%
117
0.6%

EDANG47_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)5.4%
Missing2740
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean1.303571429
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:07.364986image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6005949431
Coefficient of variation (CV)0.4607303673
Kurtosis2.379055765
Mean1.303571429
Median Absolute Deviation (MAD)0
Skewness1.859508965
Sum73
Variance0.3607142857
MonotonicityNot monotonic
2022-09-20T22:39:07.436265image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
143
 
1.5%
29
 
0.3%
34
 
0.1%
(Missing)2740
98.0%
ValueCountFrequency (%)
143
1.5%
29
 
0.3%
34
 
0.1%
ValueCountFrequency (%)
34
 
0.1%
29
 
0.3%
143
1.5%

EDANG48_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)4.6%
Missing2688
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean2.305555556
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:07.514141image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.65
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.179722234
Coefficient of variation (CV)0.5116867519
Kurtosis-0.5194669903
Mean2.305555556
Median Absolute Deviation (MAD)1
Skewness0.5301493171
Sum249
Variance1.391744548
MonotonicityNot monotonic
2022-09-20T22:39:07.596312image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
136
 
1.3%
333
 
1.2%
224
 
0.9%
49
 
0.3%
56
 
0.2%
(Missing)2688
96.1%
ValueCountFrequency (%)
136
1.3%
224
0.9%
333
1.2%
49
 
0.3%
56
 
0.2%
ValueCountFrequency (%)
56
 
0.2%
49
 
0.3%
333
1.2%
224
0.9%
136
1.3%

EDANG54_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)8.0%
Missing2746
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean1.26
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:07.841648image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.55
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6327781312
Coefficient of variation (CV)0.502204866
Kurtosis7.840346968
Mean1.26
Median Absolute Deviation (MAD)0
Skewness2.753500246
Sum63
Variance0.4004081633
MonotonicityNot monotonic
2022-09-20T22:39:07.912578image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
141
 
1.5%
26
 
0.2%
32
 
0.1%
41
 
< 0.1%
(Missing)2746
98.2%
ValueCountFrequency (%)
141
1.5%
26
 
0.2%
32
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
32
 
0.1%
26
 
0.2%
141
1.5%

EDANG55_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)3.8%
Missing2692
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean1.278846154
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:07.989266image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6146548604
Coefficient of variation (CV)0.4806323721
Kurtosis4.969380818
Mean1.278846154
Median Absolute Deviation (MAD)0
Skewness2.310154943
Sum133
Variance0.3778005975
MonotonicityNot monotonic
2022-09-20T22:39:08.060627image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
183
 
3.0%
214
 
0.5%
36
 
0.2%
41
 
< 0.1%
(Missing)2692
96.3%
ValueCountFrequency (%)
183
3.0%
214
 
0.5%
36
 
0.2%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
36
 
0.2%
214
 
0.5%
183
3.0%

EDANG56_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)13.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.066666667
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:08.137856image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.3
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2581988897
Coefficient of variation (CV)0.2420614591
Kurtosis15
Mean1.066666667
Median Absolute Deviation (MAD)0
Skewness3.872983346
Sum16
Variance0.06666666667
MonotonicityNot monotonic
2022-09-20T22:39:08.209357image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
114
 
0.5%
21
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
114
0.5%
21
 
< 0.1%
ValueCountFrequency (%)
21
 
< 0.1%
114
0.5%

EDANX01_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.7%
Missing2612
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean3.027173913
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:08.285262image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.328263854
Coefficient of variation (CV)0.43878016
Kurtosis-1.235409563
Mean3.027173913
Median Absolute Deviation (MAD)1
Skewness-0.4038878944
Sum557
Variance1.764284866
MonotonicityNot monotonic
2022-09-20T22:39:08.361601image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
479
 
2.8%
140
 
1.4%
326
 
0.9%
224
 
0.9%
515
 
0.5%
(Missing)2612
93.4%
ValueCountFrequency (%)
140
1.4%
224
 
0.9%
326
 
0.9%
479
2.8%
515
 
0.5%
ValueCountFrequency (%)
515
 
0.5%
479
2.8%
326
 
0.9%
224
 
0.9%
140
1.4%

EDANX01_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1464
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean1.743243243
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:08.443374image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8659990254
Coefficient of variation (CV)0.4967746347
Kurtosis0.0180597159
Mean1.743243243
Median Absolute Deviation (MAD)1
Skewness0.9169172633
Sum2322
Variance0.7499543119
MonotonicityNot monotonic
2022-09-20T22:39:08.516242image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1660
23.6%
2405
 
14.5%
3219
 
7.8%
445
 
1.6%
53
 
0.1%
(Missing)1464
52.4%
ValueCountFrequency (%)
1660
23.6%
2405
14.5%
3219
 
7.8%
445
 
1.6%
53
 
0.1%
ValueCountFrequency (%)
53
 
0.1%
445
 
1.6%
3219
 
7.8%
2405
14.5%
1660
23.6%

EDANX02_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)14.7%
Missing2762
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean2.529411765
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:08.597326image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.762149069
Coefficient of variation (CV)0.6966635853
Kurtosis-1.709542556
Mean2.529411765
Median Absolute Deviation (MAD)0
Skewness0.4248836801
Sum86
Variance3.10516934
MonotonicityNot monotonic
2022-09-20T22:39:08.671623image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
118
 
0.6%
58
 
0.3%
45
 
0.2%
32
 
0.1%
21
 
< 0.1%
(Missing)2762
98.8%
ValueCountFrequency (%)
118
0.6%
21
 
< 0.1%
32
 
0.1%
45
 
0.2%
58
0.3%
ValueCountFrequency (%)
58
0.3%
45
 
0.2%
32
 
0.1%
21
 
< 0.1%
118
0.6%

EDANX03_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)21.1%
Missing2777
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.421052632
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:08.751448image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.1
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9015905374
Coefficient of variation (CV)0.6344526004
Kurtosis3.15128921
Mean1.421052632
Median Absolute Deviation (MAD)0
Skewness2.041814062
Sum27
Variance0.8128654971
MonotonicityNot monotonic
2022-09-20T22:39:08.820041image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
115
 
0.5%
32
 
0.1%
21
 
< 0.1%
41
 
< 0.1%
(Missing)2777
99.3%
ValueCountFrequency (%)
115
0.5%
21
 
< 0.1%
32
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
32
 
0.1%
21
 
< 0.1%
115
0.5%

EDANX05_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.6%
Missing2170
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean1.653354633
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:08.894615image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6690625744
Coefficient of variation (CV)0.404669731
Kurtosis0.08555907381
Mean1.653354633
Median Absolute Deviation (MAD)1
Skewness0.6968537148
Sum1035
Variance0.4476447284
MonotonicityNot monotonic
2022-09-20T22:39:08.962532image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2286
 
10.2%
1281
 
10.1%
354
 
1.9%
45
 
0.2%
(Missing)2170
77.6%
ValueCountFrequency (%)
1281
10.1%
2286
10.2%
354
 
1.9%
45
 
0.2%
ValueCountFrequency (%)
45
 
0.2%
354
 
1.9%
2286
10.2%
1281
10.1%

EDANX05_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.6%
Missing1911
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean2.655367232
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:09.038107image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.044207793
Coefficient of variation (CV)0.3932442116
Kurtosis-0.5351474379
Mean2.655367232
Median Absolute Deviation (MAD)1
Skewness0.169072404
Sum2350
Variance1.090369916
MonotonicityNot monotonic
2022-09-20T22:39:09.118687image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3311
 
11.1%
2264
 
9.4%
4145
 
5.2%
1129
 
4.6%
536
 
1.3%
(Missing)1911
68.3%
ValueCountFrequency (%)
1129
4.6%
2264
9.4%
3311
11.1%
4145
5.2%
536
 
1.3%
ValueCountFrequency (%)
536
 
1.3%
4145
5.2%
3311
11.1%
2264
9.4%
1129
4.6%

EDANX07_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.9%
Missing2216
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean2.820689655
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:09.200651image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.052467882
Coefficient of variation (CV)0.3731243103
Kurtosis-0.6037558098
Mean2.820689655
Median Absolute Deviation (MAD)1
Skewness-0.08273418275
Sum1636
Variance1.107688643
MonotonicityNot monotonic
2022-09-20T22:39:09.272614image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3220
 
7.9%
2132
 
4.7%
4128
 
4.6%
175
 
2.7%
525
 
0.9%
(Missing)2216
79.3%
ValueCountFrequency (%)
175
 
2.7%
2132
4.7%
3220
7.9%
4128
4.6%
525
 
0.9%
ValueCountFrequency (%)
525
 
0.9%
4128
4.6%
3220
7.9%
2132
4.7%
175
 
2.7%

EDANX08_Bank
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)6.2%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:09.349989image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum16
Variance0
MonotonicityIncreasing
2022-09-20T22:39:09.417648image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
116
 
0.6%
(Missing)2780
99.4%
ValueCountFrequency (%)
116
0.6%
ValueCountFrequency (%)
116
0.6%

EDANX12_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.2%
Missing2475
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean1.193146417
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:09.656296image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4874196155
Coefficient of variation (CV)0.4085161791
Kurtosis14.10172442
Mean1.193146417
Median Absolute Deviation (MAD)0
Skewness3.194425604
Sum383
Variance0.2375778816
MonotonicityNot monotonic
2022-09-20T22:39:09.728528image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1269
 
9.6%
244
 
1.6%
37
 
0.3%
51
 
< 0.1%
(Missing)2475
88.5%
ValueCountFrequency (%)
1269
9.6%
244
 
1.6%
37
 
0.3%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
37
 
0.3%
244
 
1.6%
1269
9.6%

EDANX13_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)17.6%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.294117647
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:09.809175image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6859943406
Coefficient of variation (CV)0.5300865359
Kurtosis3.453125
Mean1.294117647
Median Absolute Deviation (MAD)0
Skewness2.177496098
Sum22
Variance0.4705882353
MonotonicityNot monotonic
2022-09-20T22:39:09.882478image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
114
 
0.5%
32
 
0.1%
21
 
< 0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
114
0.5%
21
 
< 0.1%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
21
 
< 0.1%
114
0.5%

EDANX16_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)2.8%
Missing2687
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean1.110091743
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:09.963049image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3686675091
Coefficient of variation (CV)0.3321054421
Kurtosis13.10049516
Mean1.110091743
Median Absolute Deviation (MAD)0
Skewness3.577800211
Sum121
Variance0.1359157322
MonotonicityNot monotonic
2022-09-20T22:39:10.034623image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
199
 
3.5%
28
 
0.3%
32
 
0.1%
(Missing)2687
96.1%
ValueCountFrequency (%)
199
3.5%
28
 
0.3%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
28
 
0.3%
199
3.5%

EDANX18_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)20.0%
Missing2776
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.7
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:10.113640image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile4.05
Maximum5
Range4
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation1.341640786
Coefficient of variation (CV)0.7892004626
Kurtosis1.057218209
Mean1.7
Median Absolute Deviation (MAD)0
Skewness1.630193808
Sum34
Variance1.8
MonotonicityNot monotonic
2022-09-20T22:39:10.187223image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
115
 
0.5%
43
 
0.1%
21
 
< 0.1%
51
 
< 0.1%
(Missing)2776
99.3%
ValueCountFrequency (%)
115
0.5%
21
 
< 0.1%
43
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
43
 
0.1%
21
 
< 0.1%
115
0.5%

EDANX20_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)17.6%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.294117647
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:10.267127image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5878675321
Coefficient of variation (CV)0.4542612748
Kurtosis3.442436785
Mean1.294117647
Median Absolute Deviation (MAD)0
Skewness1.983367652
Sum22
Variance0.3455882353
MonotonicityNot monotonic
2022-09-20T22:39:10.340270image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
113
 
0.5%
23
 
0.1%
31
 
< 0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
113
0.5%
23
 
0.1%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
23
 
0.1%
113
0.5%

EDANX21_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)1.3%
Missing2573
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean1.107623318
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:10.419298image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3514259265
Coefficient of variation (CV)0.3172792777
Kurtosis12.104259
Mean1.107623318
Median Absolute Deviation (MAD)0
Skewness3.442359856
Sum247
Variance0.1235001818
MonotonicityNot monotonic
2022-09-20T22:39:10.493404image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1202
 
7.2%
218
 
0.6%
33
 
0.1%
(Missing)2573
92.0%
ValueCountFrequency (%)
1202
7.2%
218
 
0.6%
33
 
0.1%
ValueCountFrequency (%)
33
 
0.1%
218
 
0.6%
1202
7.2%

EDANX24_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)11.8%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.058823529
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:10.575069image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.242535625
Coefficient of variation (CV)0.2290614236
Kurtosis17
Mean1.058823529
Median Absolute Deviation (MAD)0
Skewness4.123105626
Sum18
Variance0.05882352941
MonotonicityNot monotonic
2022-09-20T22:39:10.655717image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
116
 
0.6%
21
 
< 0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
116
0.6%
21
 
< 0.1%
ValueCountFrequency (%)
21
 
< 0.1%
116
0.6%

EDANX26_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)2.6%
Missing2682
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean1.131578947
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:10.731388image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3646590818
Coefficient of variation (CV)0.322256863
Kurtosis7.268433125
Mean1.131578947
Median Absolute Deviation (MAD)0
Skewness2.750863466
Sum129
Variance0.1329762459
MonotonicityNot monotonic
2022-09-20T22:39:10.802425image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1100
 
3.6%
213
 
0.5%
31
 
< 0.1%
(Missing)2682
95.9%
ValueCountFrequency (%)
1100
3.6%
213
 
0.5%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
213
 
0.5%
1100
3.6%

EDANX27_Bank
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)6.2%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:10.881879image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum16
Variance0
MonotonicityIncreasing
2022-09-20T22:39:10.952325image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
116
 
0.6%
(Missing)2780
99.4%
ValueCountFrequency (%)
116
0.6%
ValueCountFrequency (%)
116
0.6%

EDANX30_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.3%
Missing2413
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean1.279373368
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:11.031544image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5583892542
Coefficient of variation (CV)0.4364552742
Kurtosis7.203042166
Mean1.279373368
Median Absolute Deviation (MAD)0
Skewness2.340097197
Sum490
Variance0.3117985592
MonotonicityNot monotonic
2022-09-20T22:39:11.112784image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1293
 
10.5%
276
 
2.7%
312
 
0.4%
41
 
< 0.1%
51
 
< 0.1%
(Missing)2413
86.3%
ValueCountFrequency (%)
1293
10.5%
276
 
2.7%
312
 
0.4%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
312
 
0.4%
276
 
2.7%
1293
10.5%

EDANX30_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1667
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean2.691762622
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:11.196640image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9715516362
Coefficient of variation (CV)0.3609351094
Kurtosis-0.4721279093
Mean2.691762622
Median Absolute Deviation (MAD)1
Skewness0.1604045183
Sum3039
Variance0.9439125819
MonotonicityNot monotonic
2022-09-20T22:39:11.271379image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3401
 
14.3%
2380
 
13.6%
4200
 
7.2%
1116
 
4.1%
532
 
1.1%
(Missing)1667
59.6%
ValueCountFrequency (%)
1116
 
4.1%
2380
13.6%
3401
14.3%
4200
7.2%
532
 
1.1%
ValueCountFrequency (%)
532
 
1.1%
4200
7.2%
3401
14.3%
2380
13.6%
1116
 
4.1%

EDANX33_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)11.8%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.235294118
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:11.520954image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.8
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9701425001
Coefficient of variation (CV)0.7853534525
Kurtosis17
Mean1.235294118
Median Absolute Deviation (MAD)0
Skewness4.123105626
Sum21
Variance0.9411764706
MonotonicityNot monotonic
2022-09-20T22:39:11.594615image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
116
 
0.6%
51
 
< 0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
116
0.6%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
116
0.6%

EDANX37_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)11.8%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.117647059
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:11.672886image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.4
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4850712501
Coefficient of variation (CV)0.4340111185
Kurtosis17
Mean1.117647059
Median Absolute Deviation (MAD)0
Skewness4.123105626
Sum19
Variance0.2352941176
MonotonicityNot monotonic
2022-09-20T22:39:11.746492image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
116
 
0.6%
31
 
< 0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
116
0.6%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
116
0.6%

EDANX40_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing2049
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean2.793842035
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:11.828000image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9591185585
Coefficient of variation (CV)0.343297347
Kurtosis-0.4572441578
Mean2.793842035
Median Absolute Deviation (MAD)1
Skewness0.09288652328
Sum2087
Variance0.9199084093
MonotonicityNot monotonic
2022-09-20T22:39:11.899859image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3281
 
10.1%
2232
 
8.3%
4150
 
5.4%
160
 
2.1%
524
 
0.9%
(Missing)2049
73.3%
ValueCountFrequency (%)
160
 
2.1%
2232
8.3%
3281
10.1%
4150
5.4%
524
 
0.9%
ValueCountFrequency (%)
524
 
0.9%
4150
5.4%
3281
10.1%
2232
8.3%
160
 
2.1%

EDANX40_SF
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.5%
Missing2028
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean1.325520833
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:11.980982image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5624260539
Coefficient of variation (CV)0.4243057066
Kurtosis3.164215293
Mean1.325520833
Median Absolute Deviation (MAD)0
Skewness1.708854355
Sum1018
Variance0.3163230661
MonotonicityNot monotonic
2022-09-20T22:39:12.053132image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1552
 
19.7%
2184
 
6.6%
331
 
1.1%
51
 
< 0.1%
(Missing)2028
72.5%
ValueCountFrequency (%)
1552
19.7%
2184
 
6.6%
331
 
1.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
331
 
1.1%
2184
 
6.6%
1552
19.7%

EDANX41_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing2071
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean2.508965517
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:12.147826image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9813113648
Coefficient of variation (CV)0.3911219019
Kurtosis-0.2957025437
Mean2.508965517
Median Absolute Deviation (MAD)1
Skewness0.2475137872
Sum1819
Variance0.9629719947
MonotonicityNot monotonic
2022-09-20T22:39:12.228418image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3267
 
9.5%
2240
 
8.6%
1118
 
4.2%
480
 
2.9%
520
 
0.7%
(Missing)2071
74.1%
ValueCountFrequency (%)
1118
4.2%
2240
8.6%
3267
9.5%
480
 
2.9%
520
 
0.7%
ValueCountFrequency (%)
520
 
0.7%
480
 
2.9%
3267
9.5%
2240
8.6%
1118
4.2%

EDANX44_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)18.8%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.25
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:12.308419image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.25
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5773502692
Coefficient of variation (CV)0.4618802154
Kurtosis5.314285714
Mean1.25
Median Absolute Deviation (MAD)0
Skewness2.375383965
Sum20
Variance0.3333333333
MonotonicityNot monotonic
2022-09-20T22:39:12.380769image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
113
 
0.5%
22
 
0.1%
31
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
113
0.5%
22
 
0.1%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
22
 
0.1%
113
0.5%

EDANX46_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing2051
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean1.608053691
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:12.460005image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.679531462
Coefficient of variation (CV)0.4225800828
Kurtosis0.7134324006
Mean1.608053691
Median Absolute Deviation (MAD)1
Skewness0.9054732687
Sum1198
Variance0.4617630079
MonotonicityNot monotonic
2022-09-20T22:39:12.535489image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1367
 
13.1%
2310
 
11.1%
362
 
2.2%
45
 
0.2%
51
 
< 0.1%
(Missing)2051
73.4%
ValueCountFrequency (%)
1367
13.1%
2310
11.1%
362
 
2.2%
45
 
0.2%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
45
 
0.2%
362
 
2.2%
2310
11.1%
1367
13.1%

EDANX46_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing2028
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean2.897135417
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:12.616807image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9999176615
Coefficient of variation (CV)0.3451401187
Kurtosis-0.333734275
Mean2.897135417
Median Absolute Deviation (MAD)1
Skewness-0.02812666987
Sum2225
Variance0.9998353297
MonotonicityNot monotonic
2022-09-20T22:39:12.689706image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3323
 
11.6%
2177
 
6.3%
4158
 
5.7%
170
 
2.5%
540
 
1.4%
(Missing)2028
72.5%
ValueCountFrequency (%)
170
 
2.5%
2177
6.3%
3323
11.6%
4158
5.7%
540
 
1.4%
ValueCountFrequency (%)
540
 
1.4%
4158
5.7%
3323
11.6%
2177
6.3%
170
 
2.5%

EDANX47_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)1.3%
Missing2567
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean1.065502183
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:12.770366image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2650510316
Coefficient of variation (CV)0.2487569108
Kurtosis18.78682814
Mean1.065502183
Median Absolute Deviation (MAD)0
Skewness4.226841467
Sum244
Variance0.07025204934
MonotonicityNot monotonic
2022-09-20T22:39:12.840523image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1215
 
7.7%
213
 
0.5%
31
 
< 0.1%
(Missing)2567
91.8%
ValueCountFrequency (%)
1215
7.7%
213
 
0.5%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
213
 
0.5%
1215
7.7%

EDANX48_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.2%
Missing2474
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean1.298136646
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:12.916871image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5335442009
Coefficient of variation (CV)0.4110077337
Kurtosis2.802396596
Mean1.298136646
Median Absolute Deviation (MAD)0
Skewness1.728248112
Sum418
Variance0.2846694143
MonotonicityNot monotonic
2022-09-20T22:39:12.983989image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1237
 
8.5%
275
 
2.7%
39
 
0.3%
41
 
< 0.1%
(Missing)2474
88.5%
ValueCountFrequency (%)
1237
8.5%
275
 
2.7%
39
 
0.3%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
39
 
0.3%
275
 
2.7%
1237
8.5%

EDANX49_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.9%
Missing2582
Missing (%)92.3%
Infinite0
Infinite (%)0.0%
Mean1.635514019
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:13.057476image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8974928393
Coefficient of variation (CV)0.5487527646
Kurtosis0.2458071137
Mean1.635514019
Median Absolute Deviation (MAD)0
Skewness1.179772234
Sum350
Variance0.8054933965
MonotonicityNot monotonic
2022-09-20T22:39:13.128399image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1129
 
4.6%
244
 
1.6%
331
 
1.1%
410
 
0.4%
(Missing)2582
92.3%
ValueCountFrequency (%)
1129
4.6%
244
 
1.6%
331
 
1.1%
410
 
0.4%
ValueCountFrequency (%)
410
 
0.4%
331
 
1.1%
244
 
1.6%
1129
4.6%

EDANX51_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.5%
Missing2523
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean1.421245421
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:13.372532image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6767047551
Coefficient of variation (CV)0.4761350468
Kurtosis1.343867781
Mean1.421245421
Median Absolute Deviation (MAD)0
Skewness1.472279384
Sum388
Variance0.4579293256
MonotonicityNot monotonic
2022-09-20T22:39:13.442054image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1185
 
6.6%
263
 
2.3%
323
 
0.8%
42
 
0.1%
(Missing)2523
90.2%
ValueCountFrequency (%)
1185
6.6%
263
 
2.3%
323
 
0.8%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
323
 
0.8%
263
 
2.3%
1185
6.6%

EDANX53_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1294
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean2.32689747
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:13.520478image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.050520426
Coefficient of variation (CV)0.4514682919
Kurtosis-0.6869415468
Mean2.32689747
Median Absolute Deviation (MAD)1
Skewness0.3464141603
Sum3495
Variance1.103593166
MonotonicityNot monotonic
2022-09-20T22:39:13.593770image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2463
 
16.6%
3434
 
15.5%
1394
 
14.1%
4182
 
6.5%
529
 
1.0%
(Missing)1294
46.3%
ValueCountFrequency (%)
1394
14.1%
2463
16.6%
3434
15.5%
4182
 
6.5%
529
 
1.0%
ValueCountFrequency (%)
529
 
1.0%
4182
 
6.5%
3434
15.5%
2463
16.6%
1394
14.1%

EDANX53_SF
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.285714286
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:13.673232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.35
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6112498455
Coefficient of variation (CV)0.4754165465
Kurtosis4.250865052
Mean1.285714286
Median Absolute Deviation (MAD)0
Skewness2.165283839
Sum18
Variance0.3736263736
MonotonicityNot monotonic
2022-09-20T22:39:13.750750image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
111
 
0.4%
22
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
111
0.4%
22
 
0.1%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
22
 
0.1%
111
0.4%

EDANX54_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.6%
Missing1911
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean1.745762712
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:13.831867image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.765338338
Coefficient of variation (CV)0.4383976888
Kurtosis0.9637838124
Mean1.745762712
Median Absolute Deviation (MAD)1
Skewness0.9217965559
Sum1545
Variance0.5857427717
MonotonicityNot monotonic
2022-09-20T22:39:13.907726image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2384
 
13.7%
1374
 
13.4%
3109
 
3.9%
414
 
0.5%
54
 
0.1%
(Missing)1911
68.3%
ValueCountFrequency (%)
1374
13.4%
2384
13.7%
3109
 
3.9%
414
 
0.5%
54
 
0.1%
ValueCountFrequency (%)
54
 
0.1%
414
 
0.5%
3109
 
3.9%
2384
13.7%
1374
13.4%

EDANX54_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.8%
Missing2168
Missing (%)77.5%
Infinite0
Infinite (%)0.0%
Mean3.132165605
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:13.992379image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9107109013
Coefficient of variation (CV)0.2907607758
Kurtosis-0.1192403013
Mean3.132165605
Median Absolute Deviation (MAD)1
Skewness-0.1623426322
Sum1967
Variance0.8293943457
MonotonicityNot monotonic
2022-09-20T22:39:14.066261image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3277
 
9.9%
4179
 
6.4%
2112
 
4.0%
534
 
1.2%
126
 
0.9%
(Missing)2168
77.5%
ValueCountFrequency (%)
126
 
0.9%
2112
4.0%
3277
9.9%
4179
6.4%
534
 
1.2%
ValueCountFrequency (%)
534
 
1.2%
4179
6.4%
3277
9.9%
2112
4.0%
126
 
0.9%

EDANX55_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)15.8%
Missing2777
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.368421053
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:14.145784image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2.1
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5972647204
Coefficient of variation (CV)0.4364626803
Kurtosis1.380013279
Mean1.368421053
Median Absolute Deviation (MAD)0
Skewness1.44341728
Sum26
Variance0.3567251462
MonotonicityNot monotonic
2022-09-20T22:39:14.218577image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
113
 
0.5%
25
 
0.2%
31
 
< 0.1%
(Missing)2777
99.3%
ValueCountFrequency (%)
113
0.5%
25
 
0.2%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
25
 
0.2%
113
0.5%

EDDEP04_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.2%
Missing2366
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean2.230232558
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:14.299358image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.08840785
Coefficient of variation (CV)0.4880243748
Kurtosis-0.491636936
Mean2.230232558
Median Absolute Deviation (MAD)1
Skewness0.5571288253
Sum959
Variance1.184631647
MonotonicityNot monotonic
2022-09-20T22:39:14.372907image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1134
 
4.8%
2133
 
4.8%
3105
 
3.8%
446
 
1.6%
512
 
0.4%
(Missing)2366
84.6%
ValueCountFrequency (%)
1134
4.8%
2133
4.8%
3105
3.8%
446
 
1.6%
512
 
0.4%
ValueCountFrequency (%)
512
 
0.4%
446
 
1.6%
3105
3.8%
2133
4.8%
1134
4.8%

EDDEP04_SF
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.5%
Missing2533
Missing (%)90.6%
Infinite0
Infinite (%)0.0%
Mean1.152091255
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:14.451740image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5165813556
Coefficient of variation (CV)0.4483857971
Kurtosis13.91812483
Mean1.152091255
Median Absolute Deviation (MAD)0
Skewness3.715492111
Sum303
Variance0.266856297
MonotonicityNot monotonic
2022-09-20T22:39:14.519083image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1238
 
8.5%
213
 
0.5%
39
 
0.3%
43
 
0.1%
(Missing)2533
90.6%
ValueCountFrequency (%)
1238
8.5%
213
 
0.5%
39
 
0.3%
43
 
0.1%
ValueCountFrequency (%)
43
 
0.1%
39
 
0.3%
213
 
0.5%
1238
8.5%

EDDEP05_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)11.8%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.117647059
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:14.591123image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3321055821
Coefficient of variation (CV)0.2971470998
Kurtosis5.44
Mean1.117647059
Median Absolute Deviation (MAD)0
Skewness2.609611863
Sum19
Variance0.1102941176
MonotonicityNot monotonic
2022-09-20T22:39:14.662067image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
115
 
0.5%
22
 
0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
115
0.5%
22
 
0.1%
ValueCountFrequency (%)
22
 
0.1%
115
0.5%

EDDEP05_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing2123
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean1.919762259
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:14.735919image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.070204671
Coefficient of variation (CV)0.557467294
Kurtosis-0.1897323102
Mean1.919762259
Median Absolute Deviation (MAD)1
Skewness0.8908536566
Sum1292
Variance1.145338039
MonotonicityNot monotonic
2022-09-20T22:39:14.809891image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1326
 
11.7%
2151
 
5.4%
3132
 
4.7%
452
 
1.9%
512
 
0.4%
(Missing)2123
75.9%
ValueCountFrequency (%)
1326
11.7%
2151
5.4%
3132
4.7%
452
 
1.9%
512
 
0.4%
ValueCountFrequency (%)
512
 
0.4%
452
 
1.9%
3132
4.7%
2151
5.4%
1326
11.7%

EDDEP06_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.3%
Missing2418
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean2.431216931
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:14.889591image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.041208796
Coefficient of variation (CV)0.4282665123
Kurtosis-0.7353732947
Mean2.431216931
Median Absolute Deviation (MAD)1
Skewness0.2408686944
Sum919
Variance1.084115757
MonotonicityNot monotonic
2022-09-20T22:39:14.964529image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2120
 
4.3%
3114
 
4.1%
182
 
2.9%
455
 
2.0%
57
 
0.3%
(Missing)2418
86.5%
ValueCountFrequency (%)
182
2.9%
2120
4.3%
3114
4.1%
455
2.0%
57
 
0.3%
ValueCountFrequency (%)
57
 
0.3%
455
2.0%
3114
4.1%
2120
4.3%
182
2.9%

EDDEP06_SF
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.3%
Missing2484
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean1.512820513
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:15.222375image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7937633062
Coefficient of variation (CV)0.524690999
Kurtosis0.863571796
Mean1.512820513
Median Absolute Deviation (MAD)0
Skewness1.374809312
Sum472
Variance0.6300601863
MonotonicityNot monotonic
2022-09-20T22:39:15.295124image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1204
 
7.3%
263
 
2.3%
338
 
1.4%
47
 
0.3%
(Missing)2484
88.8%
ValueCountFrequency (%)
1204
7.3%
263
 
2.3%
338
 
1.4%
47
 
0.3%
ValueCountFrequency (%)
47
 
0.3%
338
 
1.4%
263
 
2.3%
1204
7.3%

EDDEP07_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)11.8%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.117647059
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:15.373024image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3321055821
Coefficient of variation (CV)0.2971470998
Kurtosis5.44
Mean1.117647059
Median Absolute Deviation (MAD)0
Skewness2.609611863
Sum19
Variance0.1102941176
MonotonicityNot monotonic
2022-09-20T22:39:15.445552image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
115
 
0.5%
22
 
0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
115
0.5%
22
 
0.1%
ValueCountFrequency (%)
22
 
0.1%
115
0.5%

EDDEP09_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)22.2%
Missing2778
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.444444444
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:15.519831image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.3
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.041617646
Coefficient of variation (CV)0.7211199087
Kurtosis8.237436493
Mean1.444444444
Median Absolute Deviation (MAD)0
Skewness2.800613724
Sum26
Variance1.08496732
MonotonicityNot monotonic
2022-09-20T22:39:15.596586image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
114
 
0.5%
22
 
0.1%
51
 
< 0.1%
31
 
< 0.1%
(Missing)2778
99.4%
ValueCountFrequency (%)
114
0.5%
22
 
0.1%
31
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
31
 
< 0.1%
22
 
0.1%
114
0.5%

EDDEP14_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)11.1%
Missing2778
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.055555556
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:15.678085image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.15
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2357022604
Coefficient of variation (CV)0.2232968783
Kurtosis18
Mean1.055555556
Median Absolute Deviation (MAD)0
Skewness4.242640687
Sum19
Variance0.05555555556
MonotonicityNot monotonic
2022-09-20T22:39:15.752271image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
117
 
0.6%
21
 
< 0.1%
(Missing)2778
99.4%
ValueCountFrequency (%)
117
0.6%
21
 
< 0.1%
ValueCountFrequency (%)
21
 
< 0.1%
117
0.6%

EDDEP17_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.9%
Missing2586
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean1.3
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:15.828048image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.75
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.5623770466
Coefficient of variation (CV)0.4325977282
Kurtosis3.444543497
Mean1.3
Median Absolute Deviation (MAD)0
Skewness1.896841943
Sum273
Variance0.3162679426
MonotonicityNot monotonic
2022-09-20T22:39:15.898106image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1157
 
5.6%
244
 
1.6%
38
 
0.3%
41
 
< 0.1%
(Missing)2586
92.5%
ValueCountFrequency (%)
1157
5.6%
244
 
1.6%
38
 
0.3%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
38
 
0.3%
244
 
1.6%
1157
5.6%

EDDEP17_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.0%
Missing2312
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean2.623966942
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:15.977809image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9230900302
Coefficient of variation (CV)0.351791791
Kurtosis-0.1728250702
Mean2.623966942
Median Absolute Deviation (MAD)1
Skewness0.3383677768
Sum1270
Variance0.8520952039
MonotonicityNot monotonic
2022-09-20T22:39:16.053662image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2189
 
6.8%
3172
 
6.2%
467
 
2.4%
143
 
1.5%
513
 
0.5%
(Missing)2312
82.7%
ValueCountFrequency (%)
143
 
1.5%
2189
6.8%
3172
6.2%
467
 
2.4%
513
 
0.5%
ValueCountFrequency (%)
513
 
0.5%
467
 
2.4%
3172
6.2%
2189
6.8%
143
 
1.5%

EDDEP19_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)12.5%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.0625
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:16.133502image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.25
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.25
Coefficient of variation (CV)0.2352941176
Kurtosis16
Mean1.0625
Median Absolute Deviation (MAD)0
Skewness4
Sum17
Variance0.0625
MonotonicityNot monotonic
2022-09-20T22:39:16.206408image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
115
 
0.5%
21
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
115
0.5%
21
 
< 0.1%
ValueCountFrequency (%)
21
 
< 0.1%
115
0.5%

EDDEP21_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)2.9%
Missing2728
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean1.058823529
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:16.280099image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.65
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2370435404
Coefficient of variation (CV)0.2238744548
Kurtosis13.09252622
Mean1.058823529
Median Absolute Deviation (MAD)0
Skewness3.835122052
Sum72
Variance0.05618964004
MonotonicityNot monotonic
2022-09-20T22:39:16.352462image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
164
 
2.3%
24
 
0.1%
(Missing)2728
97.6%
ValueCountFrequency (%)
164
2.3%
24
 
0.1%
ValueCountFrequency (%)
24
 
0.1%
164
2.3%

EDDEP22_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.8%
Missing2516
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean1.753571429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:16.426497image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7987365215
Coefficient of variation (CV)0.4554912953
Kurtosis0.0656536635
Mean1.753571429
Median Absolute Deviation (MAD)1
Skewness0.7706354561
Sum491
Variance0.6379800307
MonotonicityNot monotonic
2022-09-20T22:39:16.499520image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1126
 
4.5%
2102
 
3.6%
348
 
1.7%
43
 
0.1%
51
 
< 0.1%
(Missing)2516
90.0%
ValueCountFrequency (%)
1126
4.5%
2102
3.6%
348
 
1.7%
43
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
43
 
0.1%
348
 
1.7%
2102
3.6%
1126
4.5%

EDDEP22_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.2%
Missing2383
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean2.04842615
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:16.579260image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.179344352
Coefficient of variation (CV)0.5757319352
Kurtosis-0.8991821342
Mean2.04842615
Median Absolute Deviation (MAD)1
Skewness0.6642153915
Sum846
Variance1.3908531
MonotonicityNot monotonic
2022-09-20T22:39:16.654518image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1199
 
7.1%
384
 
3.0%
266
 
2.4%
457
 
2.0%
57
 
0.3%
(Missing)2383
85.2%
ValueCountFrequency (%)
1199
7.1%
266
 
2.4%
384
3.0%
457
 
2.0%
57
 
0.3%
ValueCountFrequency (%)
57
 
0.3%
457
 
2.0%
384
3.0%
266
 
2.4%
1199
7.1%

EDDEP23_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)3.8%
Missing2691
Missing (%)96.2%
Infinite0
Infinite (%)0.0%
Mean1.104761905
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:16.738114image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.478857003
Coefficient of variation (CV)0.4334481493
Kurtosis44.635706
Mean1.104761905
Median Absolute Deviation (MAD)0
Skewness6.19387547
Sum116
Variance0.2293040293
MonotonicityNot monotonic
2022-09-20T22:39:16.817729image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
198
 
3.5%
25
 
0.2%
51
 
< 0.1%
31
 
< 0.1%
(Missing)2691
96.2%
ValueCountFrequency (%)
198
3.5%
25
 
0.2%
31
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
31
 
< 0.1%
25
 
0.2%
198
3.5%

EDDEP26_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.9%
Missing2622
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean1.333333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:17.067107image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.75
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.6569621217
Coefficient of variation (CV)0.4927215912
Kurtosis6.870600261
Mean1.333333333
Median Absolute Deviation (MAD)0
Skewness2.369363734
Sum232
Variance0.4315992293
MonotonicityNot monotonic
2022-09-20T22:39:17.141390image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1130
 
4.6%
233
 
1.2%
39
 
0.3%
41
 
< 0.1%
51
 
< 0.1%
(Missing)2622
93.8%
ValueCountFrequency (%)
1130
4.6%
233
 
1.2%
39
 
0.3%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
39
 
0.3%
233
 
1.2%
1130
4.6%

EDDEP27_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)17.6%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.470588235
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:17.222478image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7998161553
Coefficient of variation (CV)0.5438749856
Kurtosis0.1617122473
Mean1.470588235
Median Absolute Deviation (MAD)0
Skewness1.353759378
Sum25
Variance0.6397058824
MonotonicityNot monotonic
2022-09-20T22:39:17.297806image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
112
 
0.4%
33
 
0.1%
22
 
0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
112
0.4%
22
 
0.1%
33
 
0.1%
ValueCountFrequency (%)
33
 
0.1%
22
 
0.1%
112
0.4%

EDDEP28_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)3.7%
Missing2687
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean1.247706422
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:17.376446image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.625921
Coefficient of variation (CV)0.501657272
Kurtosis5.569698177
Mean1.247706422
Median Absolute Deviation (MAD)0
Skewness2.534832082
Sum136
Variance0.3917770982
MonotonicityNot monotonic
2022-09-20T22:39:17.443804image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
192
 
3.3%
38
 
0.3%
28
 
0.3%
41
 
< 0.1%
(Missing)2687
96.1%
ValueCountFrequency (%)
192
3.3%
28
 
0.3%
38
 
0.3%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
38
 
0.3%
28
 
0.3%
192
3.3%

EDDEP29_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing2116
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean2.294117647
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:17.518184image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.083533514
Coefficient of variation (CV)0.4723094804
Kurtosis-0.5387448593
Mean2.294117647
Median Absolute Deviation (MAD)1
Skewness0.4752614488
Sum1560
Variance1.174044876
MonotonicityNot monotonic
2022-09-20T22:39:17.596040image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2209
 
7.5%
1193
 
6.9%
3183
 
6.5%
475
 
2.7%
520
 
0.7%
(Missing)2116
75.7%
ValueCountFrequency (%)
1193
6.9%
2209
7.5%
3183
6.5%
475
 
2.7%
520
 
0.7%
ValueCountFrequency (%)
520
 
0.7%
475
 
2.7%
3183
6.5%
2209
7.5%
1193
6.9%

EDDEP29_SF
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.357142857
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:17.676793image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7449463437
Coefficient of variation (CV)0.5489078322
Kurtosis2.087442408
Mean1.357142857
Median Absolute Deviation (MAD)0
Skewness1.874013633
Sum19
Variance0.5549450549
MonotonicityNot monotonic
2022-09-20T22:39:17.747788image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
111
 
0.4%
32
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
111
0.4%
21
 
< 0.1%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
21
 
< 0.1%
111
0.4%

EDDEP30_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)4.0%
Missing2696
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean1.16
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:17.826568image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5453198487
Coefficient of variation (CV)0.4701033178
Kurtosis26.56763166
Mean1.16
Median Absolute Deviation (MAD)0
Skewness4.669076692
Sum116
Variance0.2973737374
MonotonicityNot monotonic
2022-09-20T22:39:17.897514image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
189
 
3.2%
28
 
0.3%
32
 
0.1%
51
 
< 0.1%
(Missing)2696
96.4%
ValueCountFrequency (%)
189
3.2%
28
 
0.3%
32
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
32
 
0.1%
28
 
0.3%
189
3.2%

EDDEP31_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.7%
Missing2554
Missing (%)91.3%
Infinite0
Infinite (%)0.0%
Mean1.652892562
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:17.975177image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7752471837
Coefficient of variation (CV)0.4690245462
Kurtosis-0.2864883061
Mean1.652892562
Median Absolute Deviation (MAD)0
Skewness0.8526212723
Sum400
Variance0.6010081959
MonotonicityNot monotonic
2022-09-20T22:39:18.043854image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1126
 
4.5%
277
 
2.8%
336
 
1.3%
43
 
0.1%
(Missing)2554
91.3%
ValueCountFrequency (%)
1126
4.5%
277
2.8%
336
 
1.3%
43
 
0.1%
ValueCountFrequency (%)
43
 
0.1%
336
 
1.3%
277
2.8%
1126
4.5%

EDDEP35_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)9.1%
Missing2752
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean1.25
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:18.118562image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6147413901
Coefficient of variation (CV)0.4917931121
Kurtosis9.625021133
Mean1.25
Median Absolute Deviation (MAD)0
Skewness2.949511522
Sum55
Variance0.3779069767
MonotonicityNot monotonic
2022-09-20T22:39:18.188294image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
136
 
1.3%
26
 
0.2%
41
 
< 0.1%
31
 
< 0.1%
(Missing)2752
98.4%
ValueCountFrequency (%)
136
1.3%
26
 
0.2%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
31
 
< 0.1%
26
 
0.2%
136
1.3%

EDDEP36_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.4%
Missing2500
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean1.587837838
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:18.263031image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7028180955
Coefficient of variation (CV)0.4426258644
Kurtosis-0.01352447444
Mean1.587837838
Median Absolute Deviation (MAD)0
Skewness0.8936412389
Sum470
Variance0.4939532753
MonotonicityNot monotonic
2022-09-20T22:39:18.341078image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1157
 
5.6%
2106
 
3.8%
331
 
1.1%
42
 
0.1%
(Missing)2500
89.4%
ValueCountFrequency (%)
1157
5.6%
2106
3.8%
331
 
1.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
331
 
1.1%
2106
3.8%
1157
5.6%

EDDEP36_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.3%
Missing2398
Missing (%)85.8%
Infinite0
Infinite (%)0.0%
Mean2.788944724
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:18.421077image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9787044292
Coefficient of variation (CV)0.3509228494
Kurtosis-0.4788879768
Mean2.788944724
Median Absolute Deviation (MAD)1
Skewness0.09321163623
Sum1110
Variance0.9578623597
MonotonicityNot monotonic
2022-09-20T22:39:18.496424image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3147
 
5.3%
2122
 
4.4%
480
 
2.9%
135
 
1.3%
514
 
0.5%
(Missing)2398
85.8%
ValueCountFrequency (%)
135
 
1.3%
2122
4.4%
3147
5.3%
480
2.9%
514
 
0.5%
ValueCountFrequency (%)
514
 
0.5%
480
2.9%
3147
5.3%
2122
4.4%
135
 
1.3%

EDDEP39_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)11.1%
Missing2778
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.222222222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:18.576042image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.6
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9428090416
Coefficient of variation (CV)0.7713892158
Kurtosis18
Mean1.222222222
Median Absolute Deviation (MAD)0
Skewness4.242640687
Sum22
Variance0.8888888889
MonotonicityNot monotonic
2022-09-20T22:39:18.649884image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
117
 
0.6%
51
 
< 0.1%
(Missing)2778
99.4%
ValueCountFrequency (%)
117
0.6%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
117
0.6%

EDDEP41_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2456
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean2.488235294
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:18.905299image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.08754404
Coefficient of variation (CV)0.4370744369
Kurtosis-0.8134073304
Mean2.488235294
Median Absolute Deviation (MAD)1
Skewness0.2102748691
Sum846
Variance1.182752039
MonotonicityNot monotonic
2022-09-20T22:39:18.978314image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3102
 
3.6%
298
 
3.5%
175
 
2.7%
456
 
2.0%
59
 
0.3%
(Missing)2456
87.8%
ValueCountFrequency (%)
175
2.7%
298
3.5%
3102
3.6%
456
2.0%
59
 
0.3%
ValueCountFrequency (%)
59
 
0.3%
456
2.0%
3102
3.6%
298
3.5%
175
2.7%

EDDEP41_SF
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.1%
Missing2446
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean1.308571429
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:19.057864image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5976896438
Coefficient of variation (CV)0.4567497278
Kurtosis3.965644877
Mean1.308571429
Median Absolute Deviation (MAD)0
Skewness2.028646341
Sum458
Variance0.3572329104
MonotonicityNot monotonic
2022-09-20T22:39:19.126967image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1264
 
9.4%
267
 
2.4%
316
 
0.6%
43
 
0.1%
(Missing)2446
87.5%
ValueCountFrequency (%)
1264
9.4%
267
 
2.4%
316
 
0.6%
43
 
0.1%
ValueCountFrequency (%)
43
 
0.1%
316
 
0.6%
267
 
2.4%
1264
9.4%

EDDEP42_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)16.7%
Missing2778
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.388888889
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:19.201136image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.45
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9785276388
Coefficient of variation (CV)0.7045398999
Kurtosis12.00168435
Mean1.388888889
Median Absolute Deviation (MAD)0
Skewness3.316084715
Sum25
Variance0.9575163399
MonotonicityNot monotonic
2022-09-20T22:39:19.276115image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
114
 
0.5%
23
 
0.1%
51
 
< 0.1%
(Missing)2778
99.4%
ValueCountFrequency (%)
114
0.5%
23
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
23
 
0.1%
114
0.5%

EDDEP44_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)16.7%
Missing2778
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.333333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:19.357532image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.45
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9701425001
Coefficient of variation (CV)0.7276068751
Kurtosis13.546875
Mean1.333333333
Median Absolute Deviation (MAD)0
Skewness3.57550566
Sum24
Variance0.9411764706
MonotonicityNot monotonic
2022-09-20T22:39:19.433626image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
115
 
0.5%
22
 
0.1%
51
 
< 0.1%
(Missing)2778
99.4%
ValueCountFrequency (%)
115
0.5%
22
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
22
 
0.1%
115
0.5%

EDDEP45_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)22.2%
Missing2778
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.5
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:19.514420image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.75
95-th percentile3.3
Maximum5
Range4
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.043185168
Coefficient of variation (CV)0.6954567785
Kurtosis7.438276114
Mean1.5
Median Absolute Deviation (MAD)0
Skewness2.623203024
Sum27
Variance1.088235294
MonotonicityNot monotonic
2022-09-20T22:39:19.586721image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
113
 
0.5%
23
 
0.1%
51
 
< 0.1%
31
 
< 0.1%
(Missing)2778
99.4%
ValueCountFrequency (%)
113
0.5%
23
 
0.1%
31
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
31
 
< 0.1%
23
 
0.1%
113
0.5%

EDDEP46_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)2.5%
Missing2675
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean1.123966942
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:19.665054image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3779384415
Coefficient of variation (CV)0.3362540546
Kurtosis10.3538395
Mean1.123966942
Median Absolute Deviation (MAD)0
Skewness3.201223018
Sum136
Variance0.1428374656
MonotonicityNot monotonic
2022-09-20T22:39:19.736624image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1108
 
3.9%
211
 
0.4%
32
 
0.1%
(Missing)2675
95.7%
ValueCountFrequency (%)
1108
3.9%
211
 
0.4%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
211
 
0.4%
1108
3.9%

EDDEP48_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)11.8%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.117647059
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:19.819055image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3321055821
Coefficient of variation (CV)0.2971470998
Kurtosis5.44
Mean1.117647059
Median Absolute Deviation (MAD)0
Skewness2.609611863
Sum19
Variance0.1102941176
MonotonicityIncreasing
2022-09-20T22:39:19.893924image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
115
 
0.5%
22
 
0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
115
0.5%
22
 
0.1%
ValueCountFrequency (%)
22
 
0.1%
115
0.5%

EDDEP50_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)3.2%
Missing2702
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.063829787
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:19.968956image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.35
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.286187796
Coefficient of variation (CV)0.2690165283
Kurtosis26.18386994
Mean1.063829787
Median Absolute Deviation (MAD)0
Skewness4.929406468
Sum100
Variance0.08190345459
MonotonicityNot monotonic
2022-09-20T22:39:20.041681image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
189
 
3.2%
24
 
0.1%
31
 
< 0.1%
(Missing)2702
96.6%
ValueCountFrequency (%)
189
3.2%
24
 
0.1%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
24
 
0.1%
189
3.2%

EDDEP54_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)3.1%
Missing2666
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean1.215384615
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:20.117377image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5131543338
Coefficient of variation (CV)0.4222155911
Kurtosis8.404842031
Mean1.215384615
Median Absolute Deviation (MAD)0
Skewness2.723938042
Sum158
Variance0.2633273703
MonotonicityNot monotonic
2022-09-20T22:39:20.185345image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1107
 
3.8%
219
 
0.7%
33
 
0.1%
41
 
< 0.1%
(Missing)2666
95.4%
ValueCountFrequency (%)
1107
3.8%
219
 
0.7%
33
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
33
 
0.1%
219
 
0.7%
1107
3.8%

FATEXP2_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)33.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:20.259685image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.082325539
Coefficient of variation (CV)0.3865448352
Kurtosis0.2194206745
Mean2.8
Median Absolute Deviation (MAD)1
Skewness0.06240471233
Sum42
Variance1.171428571
MonotonicityNot monotonic
2022-09-20T22:39:20.334434image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
37
 
0.3%
23
 
0.1%
12
 
0.1%
42
 
0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
12
 
0.1%
23
0.1%
37
0.3%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
37
0.3%
23
0.1%
12
 
0.1%

FATEXP5_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1292
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean2.81981383
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:20.416294image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.149552127
Coefficient of variation (CV)0.4076695115
Kurtosis-0.8002230847
Mean2.81981383
Median Absolute Deviation (MAD)1
Skewness-0.04147085799
Sum4241
Variance1.321470092
MonotonicityNot monotonic
2022-09-20T22:39:20.489065image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3516
 
18.5%
4335
 
12.0%
2304
 
10.9%
1250
 
8.9%
599
 
3.5%
(Missing)1292
46.2%
ValueCountFrequency (%)
1250
8.9%
2304
10.9%
3516
18.5%
4335
12.0%
599
 
3.5%
ValueCountFrequency (%)
599
 
3.5%
4335
12.0%
3516
18.5%
2304
10.9%
1250
8.9%

FATEXP7_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:20.739093image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.5
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.8997354108
Coefficient of variation (CV)0.5398412465
Kurtosis-1.347085441
Mean1.666666667
Median Absolute Deviation (MAD)0
Skewness0.7795152415
Sum25
Variance0.8095238095
MonotonicityNot monotonic
2022-09-20T22:39:20.810782image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
19
 
0.3%
34
 
0.1%
22
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
19
0.3%
22
 
0.1%
34
0.1%
ValueCountFrequency (%)
34
0.1%
22
 
0.1%
19
0.3%

FATEXP5_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:20.889761image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3.6
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.069044968
Coefficient of variation (CV)0.5345224838
Kurtosis3.634615385
Mean2
Median Absolute Deviation (MAD)1
Skewness1.618986369
Sum30
Variance1.142857143
MonotonicityNot monotonic
2022-09-20T22:39:20.963779image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
27
 
0.3%
15
 
0.2%
32
 
0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
15
0.2%
27
0.3%
32
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
32
 
0.1%
27
0.3%
15
0.2%

FATEXP12_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:21.043708image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6761234038
Coefficient of variation (CV)0.3073288199
Kurtosis-0.5048076923
Mean2.2
Median Absolute Deviation (MAD)0
Skewness-0.2559842214
Sum33
Variance0.4571428571
MonotonicityNot monotonic
2022-09-20T22:39:21.117318image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
28
 
0.3%
35
 
0.2%
12
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
12
 
0.1%
28
0.3%
35
0.2%
ValueCountFrequency (%)
35
0.2%
28
0.3%
12
 
0.1%

FATEXP13_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.666666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:21.196743image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9759000729
Coefficient of variation (CV)0.3659625274
Kurtosis-0.6461538462
Mean2.666666667
Median Absolute Deviation (MAD)1
Skewness-0.2758794437
Sum40
Variance0.9523809524
MonotonicityNot monotonic
2022-09-20T22:39:21.265227image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
36
 
0.2%
24
 
0.1%
43
 
0.1%
12
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
12
 
0.1%
24
0.1%
36
0.2%
43
0.1%
ValueCountFrequency (%)
43
0.1%
36
0.2%
24
0.1%
12
 
0.1%

FATEXP16_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)18.2%
Missing2774
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean2.045454545
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:21.342130image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3.95
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9989171626
Coefficient of variation (CV)0.4883595017
Kurtosis-0.7497676391
Mean2.045454545
Median Absolute Deviation (MAD)1
Skewness0.5328980832
Sum45
Variance0.9978354978
MonotonicityNot monotonic
2022-09-20T22:39:21.418153image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
18
 
0.3%
27
 
0.3%
35
 
0.2%
42
 
0.1%
(Missing)2774
99.2%
ValueCountFrequency (%)
18
0.3%
27
0.3%
35
0.2%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
35
0.2%
27
0.3%
18
0.3%

FATEXP18_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:21.496315image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6761234038
Coefficient of variation (CV)0.2414726442
Kurtosis-0.5048076923
Mean2.8
Median Absolute Deviation (MAD)0
Skewness0.2559842214
Sum42
Variance0.4571428571
MonotonicityNot monotonic
2022-09-20T22:39:21.569742image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
38
 
0.3%
25
 
0.2%
42
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
25
0.2%
38
0.3%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
38
0.3%
25
0.2%

FATEXP18_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1293
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean3.169660679
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:21.652377image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.041015242
Coefficient of variation (CV)0.3284311312
Kurtosis-0.4350461867
Mean3.169660679
Median Absolute Deviation (MAD)1
Skewness-0.2581358455
Sum4764
Variance1.083712734
MonotonicityNot monotonic
2022-09-20T22:39:21.726535image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3540
19.3%
4467
 
16.7%
2260
 
9.3%
5130
 
4.6%
1106
 
3.8%
(Missing)1293
46.2%
ValueCountFrequency (%)
1106
 
3.8%
2260
9.3%
3540
19.3%
4467
16.7%
5130
 
4.6%
ValueCountFrequency (%)
5130
 
4.6%
4467
16.7%
3540
19.3%
2260
9.3%
1106
 
3.8%

FATEXP19_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.666666667
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:21.804778image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7237468645
Coefficient of variation (CV)0.2714050742
Kurtosis-0.6541640178
Mean2.666666667
Median Absolute Deviation (MAD)1
Skewness0.6280447997
Sum40
Variance0.5238095238
MonotonicityNot monotonic
2022-09-20T22:39:21.877386image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
27
 
0.3%
36
 
0.2%
42
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
27
0.3%
36
0.2%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
36
0.2%
27
0.3%

FATEXP20_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)3.9%
Missing2694
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean1.735294118
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:21.956531image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7698073642
Coefficient of variation (CV)0.4436178031
Kurtosis0.5031837166
Mean1.735294118
Median Absolute Deviation (MAD)1
Skewness0.8948535658
Sum177
Variance0.592603378
MonotonicityNot monotonic
2022-09-20T22:39:22.025707image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
144
 
1.6%
244
 
1.6%
311
 
0.4%
43
 
0.1%
(Missing)2694
96.4%
ValueCountFrequency (%)
144
1.6%
244
1.6%
311
 
0.4%
43
 
0.1%
ValueCountFrequency (%)
43
 
0.1%
311
 
0.4%
244
1.6%
144
1.6%

FATEXP20_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1377
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.415785765
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:22.101666image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8984732383
Coefficient of variation (CV)0.2630355942
Kurtosis-0.2609455759
Mean3.415785765
Median Absolute Deviation (MAD)1
Skewness-0.1205728892
Sum4847
Variance0.80725416
MonotonicityNot monotonic
2022-09-20T22:39:22.173681image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3569
20.4%
4494
 
17.7%
2176
 
6.3%
5158
 
5.7%
122
 
0.8%
(Missing)1377
49.2%
ValueCountFrequency (%)
122
 
0.8%
2176
 
6.3%
3569
20.4%
4494
17.7%
5158
 
5.7%
ValueCountFrequency (%)
5158
 
5.7%
4494
17.7%
3569
20.4%
2176
 
6.3%
122
 
0.8%

FATEXP21_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)9.6%
Missing2744
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean1.75
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:22.252105image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.118033989
Coefficient of variation (CV)0.638876565
Kurtosis0.5491015606
Mean1.75
Median Absolute Deviation (MAD)0
Skewness1.30775778
Sum91
Variance1.25
MonotonicityNot monotonic
2022-09-20T22:39:22.327284image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
132
 
1.1%
28
 
0.3%
36
 
0.2%
45
 
0.2%
51
 
< 0.1%
(Missing)2744
98.1%
ValueCountFrequency (%)
132
1.1%
28
 
0.3%
36
 
0.2%
45
 
0.2%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
45
 
0.2%
36
 
0.2%
28
 
0.3%
132
1.1%

FATEXP22_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)33.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.533333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:22.580635image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12
median2
Q33
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9904304019
Coefficient of variation (CV)0.3909593692
Kurtosis1.713748124
Mean2.533333333
Median Absolute Deviation (MAD)0
Skewness1.166502769
Sum38
Variance0.980952381
MonotonicityNot monotonic
2022-09-20T22:39:22.655400image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
28
 
0.3%
34
 
0.1%
11
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
28
0.3%
34
0.1%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
34
0.1%
28
0.3%
11
 
< 0.1%

FATEXP24_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.866666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:22.735194image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.125462868
Coefficient of variation (CV)0.392603326
Kurtosis-1.273477215
Mean2.866666667
Median Absolute Deviation (MAD)1
Skewness-0.3972403261
Sum43
Variance1.266666667
MonotonicityNot monotonic
2022-09-20T22:39:22.805127image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
46
 
0.2%
24
 
0.1%
33
 
0.1%
12
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
12
 
0.1%
24
0.1%
33
0.1%
46
0.2%
ValueCountFrequency (%)
46
0.2%
33
0.1%
24
0.1%
12
 
0.1%

FATEXP26_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.866666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:22.884131image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.060098827
Coefficient of variation (CV)0.5679100861
Kurtosis0.3225200539
Mean1.866666667
Median Absolute Deviation (MAD)1
Skewness1.129633186
Sum28
Variance1.123809524
MonotonicityNot monotonic
2022-09-20T22:39:22.960397image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17
 
0.3%
25
 
0.2%
42
 
0.1%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
25
0.2%
31
 
< 0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
31
 
< 0.1%
25
0.2%
17
0.3%

FATEXP28_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.733333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:23.035846image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9611501047
Coefficient of variation (CV)0.5545096758
Kurtosis0.5931718404
Mean1.733333333
Median Absolute Deviation (MAD)0
Skewness1.172432298
Sum26
Variance0.9238095238
MonotonicityNot monotonic
2022-09-20T22:39:23.107151image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
18
 
0.3%
24
 
0.1%
32
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
18
0.3%
24
0.1%
32
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
32
 
0.1%
24
0.1%
18
0.3%

FATEXP29_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.466666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:23.183116image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9904304019
Coefficient of variation (CV)0.4015258386
Kurtosis-0.752952863
Mean2.466666667
Median Absolute Deviation (MAD)1
Skewness0.3604320125
Sum37
Variance0.980952381
MonotonicityNot monotonic
2022-09-20T22:39:23.254127image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
27
 
0.3%
33
 
0.1%
43
 
0.1%
12
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
12
 
0.1%
27
0.3%
33
0.1%
43
0.1%
ValueCountFrequency (%)
43
0.1%
33
0.1%
27
0.3%
12
 
0.1%

FATEXP31_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)11.6%
Missing2753
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean2.790697674
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:23.331067image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.08140428
Coefficient of variation (CV)0.3875032002
Kurtosis-0.1613766283
Mean2.790697674
Median Absolute Deviation (MAD)1
Skewness0.4390386458
Sum120
Variance1.169435216
MonotonicityNot monotonic
2022-09-20T22:39:23.406542image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
316
 
0.6%
214
 
0.5%
45
 
0.2%
54
 
0.1%
14
 
0.1%
(Missing)2753
98.5%
ValueCountFrequency (%)
14
 
0.1%
214
0.5%
316
0.6%
45
 
0.2%
54
 
0.1%
ValueCountFrequency (%)
54
 
0.1%
45
 
0.2%
316
0.6%
214
0.5%
14
 
0.1%

FATEXP34_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)6.9%
Missing2724
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean1.930555556
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:23.490067image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7378382755
Coefficient of variation (CV)0.3821896103
Kurtosis4.353695832
Mean1.930555556
Median Absolute Deviation (MAD)0
Skewness1.409325392
Sum139
Variance0.5444053208
MonotonicityNot monotonic
2022-09-20T22:39:23.561641image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
247
 
1.7%
117
 
0.6%
35
 
0.2%
42
 
0.1%
51
 
< 0.1%
(Missing)2724
97.4%
ValueCountFrequency (%)
117
 
0.6%
247
1.7%
35
 
0.2%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
35
 
0.2%
247
1.7%
117
 
0.6%

FATEXP35_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1582
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean2.994233937
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:23.640619image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9219140443
Coefficient of variation (CV)0.3078964648
Kurtosis-0.5312254002
Mean2.994233937
Median Absolute Deviation (MAD)1
Skewness0.01141751125
Sum3635
Variance0.849925505
MonotonicityNot monotonic
2022-09-20T22:39:23.713862image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3465
 
16.6%
2331
 
11.8%
4324
 
11.6%
547
 
1.7%
147
 
1.7%
(Missing)1582
56.6%
ValueCountFrequency (%)
147
 
1.7%
2331
11.8%
3465
16.6%
4324
11.6%
547
 
1.7%
ValueCountFrequency (%)
547
 
1.7%
4324
11.6%
3465
16.6%
2331
11.8%
147
 
1.7%

FATEXP36_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.714285714
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:23.791663image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7262730392
Coefficient of variation (CV)0.2675742776
Kurtosis-0.7324810606
Mean2.714285714
Median Absolute Deviation (MAD)1
Skewness0.5163347388
Sum38
Variance0.5274725275
MonotonicityNot monotonic
2022-09-20T22:39:23.865214image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
26
 
0.2%
36
 
0.2%
42
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
26
0.2%
36
0.2%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
36
0.2%
26
0.2%

FATEXP38_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)6.2%
Missing2732
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean1.65625
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:23.945724image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.85
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.876840468
Coefficient of variation (CV)0.5294131128
Kurtosis1.098096763
Mean1.65625
Median Absolute Deviation (MAD)0
Skewness1.32582729
Sum106
Variance0.7688492063
MonotonicityNot monotonic
2022-09-20T22:39:24.018670image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
135
 
1.3%
220
 
0.7%
35
 
0.2%
44
 
0.1%
(Missing)2732
97.7%
ValueCountFrequency (%)
135
1.3%
220
0.7%
35
 
0.2%
44
 
0.1%
ValueCountFrequency (%)
44
 
0.1%
35
 
0.2%
220
0.7%
135
1.3%

FATEXP40_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)3.4%
Missing2647
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean3.966442953
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:24.099448image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.307029371
Coefficient of variation (CV)0.3295217872
Kurtosis-0.810429621
Mean3.966442953
Median Absolute Deviation (MAD)0
Skewness-0.8574275035
Sum591
Variance1.708325775
MonotonicityNot monotonic
2022-09-20T22:39:24.177130image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
579
 
2.8%
230
 
1.1%
426
 
0.9%
39
 
0.3%
15
 
0.2%
(Missing)2647
94.7%
ValueCountFrequency (%)
15
 
0.2%
230
 
1.1%
39
 
0.3%
426
 
0.9%
579
2.8%
ValueCountFrequency (%)
579
2.8%
426
 
0.9%
39
 
0.3%
230
 
1.1%
15
 
0.2%

FATEXP41_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.5%
Missing1851
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean3.178835979
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:24.438246image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.044951908
Coefficient of variation (CV)0.3287215558
Kurtosis-0.3252617175
Mean3.178835979
Median Absolute Deviation (MAD)1
Skewness-0.005047205745
Sum3004
Variance1.091924491
MonotonicityNot monotonic
2022-09-20T22:39:24.516001image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3418
 
14.9%
4195
 
7.0%
2154
 
5.5%
5121
 
4.3%
157
 
2.0%
(Missing)1851
66.2%
ValueCountFrequency (%)
157
 
2.0%
2154
 
5.5%
3418
14.9%
4195
7.0%
5121
 
4.3%
ValueCountFrequency (%)
5121
 
4.3%
4195
7.0%
3418
14.9%
2154
 
5.5%
157
 
2.0%

FATEXP42_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.266666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:24.596742image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7988086367
Coefficient of variation (CV)0.352415575
Kurtosis0.3796459722
Mean2.266666667
Median Absolute Deviation (MAD)0
Skewness0.4153717306
Sum34
Variance0.6380952381
MonotonicityNot monotonic
2022-09-20T22:39:24.667792image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
28
 
0.3%
34
 
0.1%
12
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
12
 
0.1%
28
0.3%
34
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
34
0.1%
28
0.3%
12
 
0.1%

FATEXP43_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:24.745228image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33
95-th percentile4.3
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9411239481
Coefficient of variation (CV)0.3361156958
Kurtosis0.4958776915
Mean2.8
Median Absolute Deviation (MAD)1
Skewness1.044102931
Sum42
Variance0.8857142857
MonotonicityNot monotonic
2022-09-20T22:39:24.815719image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
27
 
0.3%
35
 
0.2%
42
 
0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
27
0.3%
35
0.2%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
35
0.2%
27
0.3%

FATEXP44_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)22.7%
Missing2774
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean2.590909091
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:24.893556image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.098010795
Coefficient of variation (CV)0.4237936401
Kurtosis-0.3367777088
Mean2.590909091
Median Absolute Deviation (MAD)1
Skewness0.2207353876
Sum57
Variance1.205627706
MonotonicityNot monotonic
2022-09-20T22:39:24.969713image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
38
 
0.3%
26
 
0.2%
14
 
0.1%
43
 
0.1%
51
 
< 0.1%
(Missing)2774
99.2%
ValueCountFrequency (%)
14
0.1%
26
0.2%
38
0.3%
43
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
43
 
0.1%
38
0.3%
26
0.2%
14
0.1%

FATEXP45_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)33.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.666666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:25.052615image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12
median2
Q33
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.046536237
Coefficient of variation (CV)0.3924510889
Kurtosis0.363385197
Mean2.666666667
Median Absolute Deviation (MAD)1
Skewness0.7829618931
Sum40
Variance1.095238095
MonotonicityNot monotonic
2022-09-20T22:39:25.127217image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
27
 
0.3%
34
 
0.1%
42
 
0.1%
11
 
< 0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
27
0.3%
34
0.1%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
34
0.1%
27
0.3%
11
 
< 0.1%

FATEXP46_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:25.208066image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.558387445
Coefficient of variation (CV)0.7791937225
Kurtosis-0.2291722119
Mean2
Median Absolute Deviation (MAD)0
Skewness1.17594581
Sum30
Variance2.428571429
MonotonicityNot monotonic
2022-09-20T22:39:25.280305image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
110
 
0.4%
32
 
0.1%
52
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
110
0.4%
32
 
0.1%
41
 
< 0.1%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
41
 
< 0.1%
32
 
0.1%
110
0.4%

FATEXP48_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.866666667
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:25.358652image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33
95-th percentile4.3
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9154754164
Coefficient of variation (CV)0.3193518895
Kurtosis0.5173235855
Mean2.866666667
Median Absolute Deviation (MAD)1
Skewness0.9376457226
Sum43
Variance0.8380952381
MonotonicityNot monotonic
2022-09-20T22:39:25.426017image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
26
 
0.2%
36
 
0.2%
42
 
0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
26
0.2%
36
0.2%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
36
0.2%
26
0.2%

FATEXP49_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.066666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:25.501542image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32.5
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.7037315505
Coefficient of variation (CV)0.3405152664
Kurtosis-0.6690942194
Mean2.066666667
Median Absolute Deviation (MAD)0
Skewness-0.09249088995
Sum31
Variance0.4952380952
MonotonicityNot monotonic
2022-09-20T22:39:25.574351image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
28
 
0.3%
34
 
0.1%
13
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
13
 
0.1%
28
0.3%
34
0.1%
ValueCountFrequency (%)
34
0.1%
28
0.3%
13
 
0.1%

FATEXP50_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:25.654551image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6546536707
Coefficient of variation (CV)0.3273268354
Kurtosis-0.1794871795
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum30
Variance0.4285714286
MonotonicityNot monotonic
2022-09-20T22:39:25.724478image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
29
 
0.3%
13
 
0.1%
33
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
13
 
0.1%
29
0.3%
33
 
0.1%
ValueCountFrequency (%)
33
 
0.1%
29
0.3%
13
 
0.1%

FATEXP51_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.642857143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:25.802658image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q12
median2.5
Q33
95-th percentile4.35
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.008208072
Coefficient of variation (CV)0.3814841354
Kurtosis1.210996746
Mean2.642857143
Median Absolute Deviation (MAD)0.5
Skewness0.8578237855
Sum37
Variance1.016483516
MonotonicityNot monotonic
2022-09-20T22:39:25.877576image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
26
 
0.2%
35
 
0.2%
11
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
26
0.2%
35
0.2%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
35
0.2%
26
0.2%
11
 
< 0.1%

FATEXP52_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.642857143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:25.964223image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4.35
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.081817762
Coefficient of variation (CV)0.4093364505
Kurtosis0.5918859293
Mean2.642857143
Median Absolute Deviation (MAD)1
Skewness0.4209572786
Sum37
Variance1.17032967
MonotonicityNot monotonic
2022-09-20T22:39:26.038975image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
36
 
0.2%
24
 
0.1%
12
 
0.1%
41
 
< 0.1%
51
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
12
 
0.1%
24
0.1%
36
0.2%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
36
0.2%
24
0.1%
12
 
0.1%

FATEXP54_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)22.2%
Missing2778
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.444444444
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:26.296422image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2.5
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.041617646
Coefficient of variation (CV)0.4261163097
Kurtosis-1.067157788
Mean2.444444444
Median Absolute Deviation (MAD)0.5
Skewness-0.01012095822
Sum44
Variance1.08496732
MonotonicityNot monotonic
2022-09-20T22:39:26.364598image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
36
 
0.2%
25
 
0.2%
14
 
0.1%
43
 
0.1%
(Missing)2778
99.4%
ValueCountFrequency (%)
14
0.1%
25
0.2%
36
0.2%
43
0.1%
ValueCountFrequency (%)
43
0.1%
36
0.2%
25
0.2%
14
0.1%

FATEXP56_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)5.4%
Missing2704
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean4.032608696
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:26.441928image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9311588781
Coefficient of variation (CV)0.2309073229
Kurtosis1.876906833
Mean4.032608696
Median Absolute Deviation (MAD)0
Skewness-1.317901262
Sum371
Variance0.8670568562
MonotonicityNot monotonic
2022-09-20T22:39:26.520843image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
450
 
1.8%
528
 
1.0%
27
 
0.3%
35
 
0.2%
12
 
0.1%
(Missing)2704
96.7%
ValueCountFrequency (%)
12
 
0.1%
27
 
0.3%
35
 
0.2%
450
1.8%
528
1.0%
ValueCountFrequency (%)
528
1.0%
450
1.8%
35
 
0.2%
27
 
0.3%
12
 
0.1%

FATEXP6_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:26.608421image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6761234038
Coefficient of variation (CV)0.3073288199
Kurtosis-0.5048076923
Mean2.2
Median Absolute Deviation (MAD)0
Skewness-0.2559842214
Sum33
Variance0.4571428571
MonotonicityNot monotonic
2022-09-20T22:39:26.690450image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
28
 
0.3%
35
 
0.2%
12
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
12
 
0.1%
28
0.3%
35
0.2%
ValueCountFrequency (%)
35
0.2%
28
0.3%
12
 
0.1%

FATIMP1_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)19.0%
Missing2775
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean2.666666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:26.772119image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.197219
Coefficient of variation (CV)0.4489571249
Kurtosis-1.485013236
Mean2.666666667
Median Absolute Deviation (MAD)1
Skewness-0.2433219566
Sum56
Variance1.433333333
MonotonicityNot monotonic
2022-09-20T22:39:26.842739image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
47
 
0.3%
15
 
0.2%
35
 
0.2%
24
 
0.1%
(Missing)2775
99.2%
ValueCountFrequency (%)
15
0.2%
24
0.1%
35
0.2%
47
0.3%
ValueCountFrequency (%)
47
0.3%
35
0.2%
24
0.1%
15
0.2%

FATIMP2_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)17.6%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.529411765
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:26.920708image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7998161553
Coefficient of variation (CV)0.522956717
Kurtosis-0.3095634449
Mean1.529411765
Median Absolute Deviation (MAD)0
Skewness1.138192598
Sum26
Variance0.6397058824
MonotonicityNot monotonic
2022-09-20T22:39:26.992857image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
111
 
0.4%
33
 
0.1%
23
 
0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
111
0.4%
23
 
0.1%
33
 
0.1%
ValueCountFrequency (%)
33
 
0.1%
23
 
0.1%
111
0.4%

FATIMP3_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1285
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.139642621
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:27.072326image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.068369869
Coefficient of variation (CV)0.3402839106
Kurtosis-0.4321696387
Mean3.139642621
Median Absolute Deviation (MAD)1
Skewness-0.17572744
Sum4744
Variance1.141414177
MonotonicityNot monotonic
2022-09-20T22:39:27.146103image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3586
21.0%
4398
 
14.2%
2251
 
9.0%
5154
 
5.5%
1122
 
4.4%
(Missing)1285
46.0%
ValueCountFrequency (%)
1122
 
4.4%
2251
9.0%
3586
21.0%
4398
14.2%
5154
 
5.5%
ValueCountFrequency (%)
5154
 
5.5%
4398
14.2%
3586
21.0%
2251
9.0%
1122
 
4.4%

FATIMP4_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)25.0%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:27.224380image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3.25
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9660917831
Coefficient of variation (CV)0.4830458915
Kurtosis-0.7350302758
Mean2
Median Absolute Deviation (MAD)1
Skewness0.5069869416
Sum32
Variance0.9333333333
MonotonicityNot monotonic
2022-09-20T22:39:27.295207image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
16
 
0.2%
25
 
0.2%
34
 
0.1%
41
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
16
0.2%
25
0.2%
34
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
34
0.1%
25
0.2%
16
0.2%

FATIMP5_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)25.0%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.375
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:27.369902image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median3
Q33
95-th percentile3.25
Maximum4
Range3
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.9574271078
Coefficient of variation (CV)0.4031272033
Kurtosis-1.03489238
Mean2.375
Median Absolute Deviation (MAD)0.5
Skewness-0.3743799977
Sum38
Variance0.9166666667
MonotonicityNot monotonic
2022-09-20T22:39:27.439315image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
38
 
0.3%
14
 
0.1%
23
 
0.1%
41
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
14
0.1%
23
 
0.1%
38
0.3%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
38
0.3%
23
 
0.1%
14
0.1%

FATIMP6_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:27.525293image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8164965809
Coefficient of variation (CV)0.4898979486
Kurtosis-1.021978022
Mean1.666666667
Median Absolute Deviation (MAD)0
Skewness0.7402304168
Sum25
Variance0.6666666667
MonotonicityNot monotonic
2022-09-20T22:39:27.599693image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
18
 
0.3%
24
 
0.1%
33
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
18
0.3%
24
0.1%
33
 
0.1%
ValueCountFrequency (%)
33
 
0.1%
24
0.1%
18
0.3%

FATIMP8_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.533333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:27.678886image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.743223353
Coefficient of variation (CV)0.4847108824
Kurtosis-0.1056434647
Mean1.533333333
Median Absolute Deviation (MAD)0
Skewness1.074251078
Sum23
Variance0.5523809524
MonotonicityNot monotonic
2022-09-20T22:39:27.749220image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
19
 
0.3%
24
 
0.1%
32
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
19
0.3%
24
0.1%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
24
0.1%
19
0.3%

FATIMP9_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.866666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:27.825366image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.060098827
Coefficient of variation (CV)0.5679100861
Kurtosis-1.000044196
Mean1.866666667
Median Absolute Deviation (MAD)0
Skewness0.7145529464
Sum28
Variance1.123809524
MonotonicityNot monotonic
2022-09-20T22:39:27.895174image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
18
 
0.3%
34
 
0.1%
22
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
18
0.3%
22
 
0.1%
34
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
34
0.1%
22
 
0.1%
18
0.3%

FATIMP10_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)33.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.333333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:27.972782image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median2
Q33
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.2344268
Coefficient of variation (CV)0.529040057
Kurtosis-0.02524038462
Mean2.333333333
Median Absolute Deviation (MAD)1
Skewness0.8373553186
Sum35
Variance1.523809524
MonotonicityNot monotonic
2022-09-20T22:39:28.224190image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
26
 
0.2%
14
 
0.1%
32
 
0.1%
42
 
0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
14
0.1%
26
0.2%
32
 
0.1%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
32
 
0.1%
26
0.2%
14
0.1%

FATIMP11_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:28.303093image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7237468645
Coefficient of variation (CV)0.4342481187
Kurtosis-0.6541640178
Mean1.666666667
Median Absolute Deviation (MAD)1
Skewness0.6280447997
Sum25
Variance0.5238095238
MonotonicityNot monotonic
2022-09-20T22:39:28.376590image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
17
 
0.3%
26
 
0.2%
32
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
26
0.2%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
26
0.2%
17
0.3%

FATIMP13_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.4
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:28.455272image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9102589898
Coefficient of variation (CV)0.3792745791
Kurtosis-0.7138937163
Mean2.4
Median Absolute Deviation (MAD)1
Skewness-0.3147149896
Sum36
Variance0.8285714286
MonotonicityNot monotonic
2022-09-20T22:39:28.524183image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
37
 
0.3%
24
 
0.1%
13
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
13
0.1%
24
0.1%
37
0.3%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
37
0.3%
24
0.1%
13
0.1%

FATIMP14_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.6
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:28.601053image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7367883976
Coefficient of variation (CV)0.4604927485
Kurtosis-0.4698487108
Mean1.6
Median Absolute Deviation (MAD)0
Skewness0.8407206199
Sum24
Variance0.5428571429
MonotonicityNot monotonic
2022-09-20T22:39:28.675317image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
18
 
0.3%
25
 
0.2%
32
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
18
0.3%
25
0.2%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
25
0.2%
18
0.3%

FATIMP15_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.533333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:28.755397image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.060098827
Coefficient of variation (CV)0.4184600634
Kurtosis-1.069652841
Mean2.533333333
Median Absolute Deviation (MAD)1
Skewness-0.1002341913
Sum38
Variance1.123809524
MonotonicityNot monotonic
2022-09-20T22:39:28.823811image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
35
 
0.2%
24
 
0.1%
13
 
0.1%
43
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
13
0.1%
24
0.1%
35
0.2%
43
0.1%
ValueCountFrequency (%)
43
0.1%
35
0.2%
24
0.1%
13
0.1%

FATIMP16_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.333333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:28.897933image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8997354108
Coefficient of variation (CV)0.3856008904
Kurtosis-0.6763375033
Mean2.333333333
Median Absolute Deviation (MAD)1
Skewness-0.1005826118
Sum35
Variance0.8095238095
MonotonicityNot monotonic
2022-09-20T22:39:28.967202image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
36
 
0.2%
25
 
0.2%
13
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
13
0.1%
25
0.2%
36
0.2%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
36
0.2%
25
0.2%
13
0.1%

FATIMP17_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)11.6%
Missing2753
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean2.813953488
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:29.054514image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.313951038
Coefficient of variation (CV)0.4669412781
Kurtosis-1.158266346
Mean2.813953488
Median Absolute Deviation (MAD)1
Skewness-0.03579149358
Sum121
Variance1.726467331
MonotonicityNot monotonic
2022-09-20T22:39:29.128684image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
311
 
0.4%
411
 
0.4%
110
 
0.4%
27
 
0.3%
54
 
0.1%
(Missing)2753
98.5%
ValueCountFrequency (%)
110
0.4%
27
0.3%
311
0.4%
411
0.4%
54
 
0.1%
ValueCountFrequency (%)
54
 
0.1%
411
0.4%
311
0.4%
27
0.3%
110
0.4%

FATIMP18_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:29.205426image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median2
Q33
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.9411239481
Coefficient of variation (CV)0.4277836128
Kurtosis-0.8488753702
Mean2.2
Median Absolute Deviation (MAD)1
Skewness0.1423776725
Sum33
Variance0.8857142857
MonotonicityNot monotonic
2022-09-20T22:39:29.273094image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
25
 
0.2%
35
 
0.2%
14
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
14
0.1%
25
0.2%
35
0.2%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
35
0.2%
25
0.2%
14
0.1%

FATIMP19_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.533333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:29.347119image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8338093878
Coefficient of variation (CV)0.3291352847
Kurtosis-0.04395398184
Mean2.533333333
Median Absolute Deviation (MAD)0
Skewness-0.5472111064
Sum38
Variance0.6952380952
MonotonicityNot monotonic
2022-09-20T22:39:29.418401image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
38
 
0.3%
24
 
0.1%
12
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
12
 
0.1%
24
0.1%
38
0.3%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
38
0.3%
24
0.1%
12
 
0.1%

FATIMP20_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.733333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:29.495591image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2.3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5936168397
Coefficient of variation (CV)0.3424712537
Kurtosis-0.1710962522
Mean1.733333333
Median Absolute Deviation (MAD)0
Skewness0.09105882859
Sum26
Variance0.3523809524
MonotonicityNot monotonic
2022-09-20T22:39:29.566001image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
29
 
0.3%
15
 
0.2%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
15
0.2%
29
0.3%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
29
0.3%
15
0.2%

FATIMP21_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.533333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:29.642288image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9154754164
Coefficient of variation (CV)0.5970491846
Kurtosis2.895343293
Mean1.533333333
Median Absolute Deviation (MAD)0
Skewness1.820865981
Sum23
Variance0.8380952381
MonotonicityNot monotonic
2022-09-20T22:39:29.708600image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
110
 
0.4%
23
 
0.1%
31
 
< 0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
110
0.4%
23
 
0.1%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
31
 
< 0.1%
23
 
0.1%
110
0.4%

FATIMP21_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1291
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean2.340199336
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:29.783433image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.106622335
Coefficient of variation (CV)0.4728752453
Kurtosis-0.7254825106
Mean2.340199336
Median Absolute Deviation (MAD)1
Skewness0.3630517846
Sum3522
Variance1.224612992
MonotonicityNot monotonic
2022-09-20T22:39:29.856795image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3451
 
16.1%
1436
 
15.6%
2392
 
14.0%
4181
 
6.5%
545
 
1.6%
(Missing)1291
46.2%
ValueCountFrequency (%)
1436
15.6%
2392
14.0%
3451
16.1%
4181
6.5%
545
 
1.6%
ValueCountFrequency (%)
545
 
1.6%
4181
6.5%
3451
16.1%
2392
14.0%
1436
15.6%

FATIMP22_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.642857143
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:30.112096image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7449463437
Coefficient of variation (CV)0.4534456005
Kurtosis-0.6374241385
Mean1.642857143
Median Absolute Deviation (MAD)0.5
Skewness0.7309982257
Sum23
Variance0.5549450549
MonotonicityNot monotonic
2022-09-20T22:39:30.184398image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
17
 
0.3%
25
 
0.2%
32
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
17
0.3%
25
0.2%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
25
0.2%
17
0.3%

FATIMP24_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)26.3%
Missing2777
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.736842105
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:30.268072image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.147078669
Coefficient of variation (CV)0.4191248984
Kurtosis-0.08345098039
Mean2.736842105
Median Absolute Deviation (MAD)1
Skewness0.5777677815
Sum52
Variance1.315789474
MonotonicityNot monotonic
2022-09-20T22:39:30.344389image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
27
 
0.3%
36
 
0.2%
12
 
0.1%
52
 
0.1%
42
 
0.1%
(Missing)2777
99.3%
ValueCountFrequency (%)
12
 
0.1%
27
0.3%
36
0.2%
42
 
0.1%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
42
 
0.1%
36
0.2%
27
0.3%
12
 
0.1%

FATIMP25_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)26.3%
Missing2777
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:30.424547image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.490711985
Coefficient of variation (CV)0.7453559925
Kurtosis-0.3044117647
Mean2
Median Absolute Deviation (MAD)0
Skewness1.124610659
Sum38
Variance2.222222222
MonotonicityNot monotonic
2022-09-20T22:39:30.497205image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
112
 
0.4%
52
 
0.1%
32
 
0.1%
42
 
0.1%
21
 
< 0.1%
(Missing)2777
99.3%
ValueCountFrequency (%)
112
0.4%
21
 
< 0.1%
32
 
0.1%
42
 
0.1%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
42
 
0.1%
32
 
0.1%
21
 
< 0.1%
112
0.4%

FATIMP26_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.533333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:30.582901image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2.3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6399404734
Coefficient of variation (CV)0.4173524827
Kurtosis-0.1266797021
Mean1.533333333
Median Absolute Deviation (MAD)0
Skewness0.8022883957
Sum23
Variance0.4095238095
MonotonicityNot monotonic
2022-09-20T22:39:30.659178image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
18
 
0.3%
26
 
0.2%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
18
0.3%
26
0.2%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
26
0.2%
18
0.3%

FATIMP27_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.133333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:30.740452image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5163977795
Coefficient of variation (CV)0.2420614591
Kurtosis1.401098901
Mean2.133333333
Median Absolute Deviation (MAD)0
Skewness0.2819616997
Sum32
Variance0.2666666667
MonotonicityNot monotonic
2022-09-20T22:39:30.812698image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
211
 
0.4%
33
 
0.1%
11
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
211
0.4%
33
 
0.1%
ValueCountFrequency (%)
33
 
0.1%
211
0.4%
11
 
< 0.1%

FATIMP28_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)26.3%
Missing2777
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:30.892209image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.5
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.452966315
Coefficient of variation (CV)0.7264831573
Kurtosis0.01393188854
Mean2
Median Absolute Deviation (MAD)0
Skewness1.214553885
Sum38
Variance2.111111111
MonotonicityNot monotonic
2022-09-20T22:39:30.964715image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
111
 
0.4%
23
 
0.1%
52
 
0.1%
42
 
0.1%
31
 
< 0.1%
(Missing)2777
99.3%
ValueCountFrequency (%)
111
0.4%
23
 
0.1%
31
 
< 0.1%
42
 
0.1%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
42
 
0.1%
31
 
< 0.1%
23
 
0.1%
111
0.4%

FATIMP29_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.266666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:31.042809image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8837151017
Coefficient of variation (CV)0.3898743096
Kurtosis-0.4852880611
Mean2.266666667
Median Absolute Deviation (MAD)1
Skewness0.1157063028
Sum34
Variance0.780952381
MonotonicityNot monotonic
2022-09-20T22:39:31.111655image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
26
 
0.2%
35
 
0.2%
13
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
13
0.1%
26
0.2%
35
0.2%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
35
0.2%
26
0.2%
13
0.1%

FATIMP30_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)29.4%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.823529412
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:31.188754image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.2
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.185078801
Coefficient of variation (CV)0.6498819232
Kurtosis2.359590707
Mean1.823529412
Median Absolute Deviation (MAD)0
Skewness1.659376697
Sum31
Variance1.404411765
MonotonicityNot monotonic
2022-09-20T22:39:31.260069image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
19
 
0.3%
25
 
0.2%
41
 
< 0.1%
31
 
< 0.1%
51
 
< 0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
19
0.3%
25
0.2%
31
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
31
 
< 0.1%
25
0.2%
19
0.3%

FATIMP30_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1294
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean2.132490013
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:31.338366image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.001209957
Coefficient of variation (CV)0.4695027646
Kurtosis-0.5459109307
Mean2.132490013
Median Absolute Deviation (MAD)1
Skewness0.5021503913
Sum3203
Variance1.002421377
MonotonicityNot monotonic
2022-09-20T22:39:31.411175image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1490
 
17.5%
2482
 
17.2%
3388
 
13.9%
4125
 
4.5%
517
 
0.6%
(Missing)1294
46.3%
ValueCountFrequency (%)
1490
17.5%
2482
17.2%
3388
13.9%
4125
 
4.5%
517
 
0.6%
ValueCountFrequency (%)
517
 
0.6%
4125
 
4.5%
3388
13.9%
2482
17.2%
1490
17.5%

FATIMP33_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.333333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:31.490081image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8164965809
Coefficient of variation (CV)0.3499271061
Kurtosis-0.03296703297
Mean2.333333333
Median Absolute Deviation (MAD)1
Skewness0.1682341856
Sum35
Variance0.6666666667
MonotonicityNot monotonic
2022-09-20T22:39:31.561494image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
27
 
0.3%
35
 
0.2%
12
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
12
 
0.1%
27
0.3%
35
0.2%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
35
0.2%
27
0.3%
12
 
0.1%

FATIMP33_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1292
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean3.057180851
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:31.637973image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.13173612
Coefficient of variation (CV)0.3701894572
Kurtosis-0.6728691333
Mean3.057180851
Median Absolute Deviation (MAD)1
Skewness-0.139956065
Sum4598
Variance1.280826645
MonotonicityNot monotonic
2022-09-20T22:39:31.710016image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3516
 
18.5%
4390
 
13.9%
2284
 
10.2%
1162
 
5.8%
5152
 
5.4%
(Missing)1292
46.2%
ValueCountFrequency (%)
1162
 
5.8%
2284
10.2%
3516
18.5%
4390
13.9%
5152
 
5.4%
ValueCountFrequency (%)
5152
 
5.4%
4390
13.9%
3516
18.5%
2284
10.2%
1162
 
5.8%

FATIMP34_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.133333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:31.787583image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.060098827
Coefficient of variation (CV)0.4969213253
Kurtosis-0.7912182618
Mean2.133333333
Median Absolute Deviation (MAD)1
Skewness0.5306877734
Sum32
Variance1.123809524
MonotonicityNot monotonic
2022-09-20T22:39:32.046252image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
15
 
0.2%
25
 
0.2%
33
 
0.1%
42
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
15
0.2%
25
0.2%
33
0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
33
0.1%
25
0.2%
15
0.2%

FATIMP35_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.4
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:32.129104image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.5
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.7367883976
Coefficient of variation (CV)0.5262774269
Kurtosis1.32005114
Mean1.4
Median Absolute Deviation (MAD)0
Skewness1.631987086
Sum21
Variance0.5428571429
MonotonicityNot monotonic
2022-09-20T22:39:32.201764image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
111
 
0.4%
32
 
0.1%
22
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
111
0.4%
22
 
0.1%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
22
 
0.1%
111
0.4%

FATIMP36_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.214285714
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:32.279290image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3.35
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8925823753
Coefficient of variation (CV)0.4031017179
Kurtosis-0.3265809102
Mean2.214285714
Median Absolute Deviation (MAD)1
Skewness0.2781545647
Sum31
Variance0.7967032967
MonotonicityNot monotonic
2022-09-20T22:39:32.349228image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
26
 
0.2%
34
 
0.1%
13
 
0.1%
41
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
13
0.1%
26
0.2%
34
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
34
0.1%
26
0.2%
13
0.1%

FATIMP37_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:32.426993image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8618916074
Coefficient of variation (CV)0.3917689124
Kurtosis-0.1115157032
Mean2.2
Median Absolute Deviation (MAD)1
Skewness0.3398332294
Sum33
Variance0.7428571429
MonotonicityNot monotonic
2022-09-20T22:39:32.496567image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
27
 
0.3%
34
 
0.1%
13
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
13
0.1%
27
0.3%
34
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
34
0.1%
27
0.3%
13
0.1%

FATIMP38_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.466666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:32.574511image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.743223353
Coefficient of variation (CV)0.5067431952
Kurtosis0.4705936157
Mean1.466666667
Median Absolute Deviation (MAD)0
Skewness1.334783731
Sum22
Variance0.5523809524
MonotonicityNot monotonic
2022-09-20T22:39:32.645941image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
110
 
0.4%
23
 
0.1%
32
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
110
0.4%
23
 
0.1%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
23
 
0.1%
110
0.4%

FATIMP40_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)27.8%
Missing2778
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean3.222222222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:32.726324image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.5
Q34.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.555088632
Coefficient of variation (CV)0.4826137134
Kurtosis-1.413433893
Mean3.222222222
Median Absolute Deviation (MAD)1.5
Skewness-0.3097937615
Sum58
Variance2.418300654
MonotonicityNot monotonic
2022-09-20T22:39:32.800337image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
55
 
0.2%
44
 
0.1%
14
 
0.1%
33
 
0.1%
22
 
0.1%
(Missing)2778
99.4%
ValueCountFrequency (%)
14
0.1%
22
 
0.1%
33
0.1%
44
0.1%
55
0.2%
ValueCountFrequency (%)
55
0.2%
44
0.1%
33
0.1%
22
 
0.1%
14
0.1%

FATIMP40_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1298
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean3.134846462
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:32.879532image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.489388207
Coefficient of variation (CV)0.4751072261
Kurtosis-1.38177928
Mean3.134846462
Median Absolute Deviation (MAD)1
Skewness-0.1139942546
Sum4696
Variance2.218277231
MonotonicityNot monotonic
2022-09-20T22:39:32.956072image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5408
 
14.6%
1311
 
11.1%
3307
 
11.0%
4240
 
8.6%
2232
 
8.3%
(Missing)1298
46.4%
ValueCountFrequency (%)
1311
11.1%
2232
8.3%
3307
11.0%
4240
8.6%
5408
14.6%
ValueCountFrequency (%)
5408
14.6%
4240
8.6%
3307
11.0%
2232
8.3%
1311
11.1%

FATIMP42_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.333333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:33.037983image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6172133998
Coefficient of variation (CV)0.2645200285
Kurtosis-0.4038461538
Mean2.333333333
Median Absolute Deviation (MAD)0
Skewness-0.311574072
Sum35
Variance0.380952381
MonotonicityNot monotonic
2022-09-20T22:39:33.112678image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
28
 
0.3%
36
 
0.2%
11
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
28
0.3%
36
0.2%
ValueCountFrequency (%)
36
0.2%
28
0.3%
11
 
< 0.1%

FATIMP43_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.533333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:33.194421image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.743223353
Coefficient of variation (CV)0.4847108824
Kurtosis-0.1056434647
Mean1.533333333
Median Absolute Deviation (MAD)0
Skewness1.074251078
Sum23
Variance0.5523809524
MonotonicityNot monotonic
2022-09-20T22:39:33.264816image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
19
 
0.3%
24
 
0.1%
32
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
19
0.3%
24
0.1%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
24
0.1%
19
0.3%

FATIMP44_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.4
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:33.341840image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2.3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.632455532
Coefficient of variation (CV)0.4517539515
Kurtosis1.263736264
Mean1.4
Median Absolute Deviation (MAD)0
Skewness1.40738731
Sum21
Variance0.4
MonotonicityNot monotonic
2022-09-20T22:39:33.415919image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
110
 
0.4%
24
 
0.1%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
110
0.4%
24
 
0.1%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
24
 
0.1%
110
0.4%

FATIMP45_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:33.493932image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.207121724
Coefficient of variation (CV)0.5486916928
Kurtosis-1.431549996
Mean2.2
Median Absolute Deviation (MAD)1
Skewness0.4048372032
Sum33
Variance1.457142857
MonotonicityNot monotonic
2022-09-20T22:39:33.561831image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
16
 
0.2%
33
 
0.1%
43
 
0.1%
23
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
16
0.2%
23
0.1%
33
0.1%
43
0.1%
ValueCountFrequency (%)
43
0.1%
33
0.1%
23
0.1%
16
0.2%

FATIMP47_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.466666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:33.645015image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8338093878
Coefficient of variation (CV)0.3380308329
Kurtosis-0.04395398184
Mean2.466666667
Median Absolute Deviation (MAD)0
Skewness0.5472111064
Sum37
Variance0.6952380952
MonotonicityNot monotonic
2022-09-20T22:39:33.716071image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
28
 
0.3%
34
 
0.1%
42
 
0.1%
11
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
28
0.3%
34
0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
34
0.1%
28
0.3%
11
 
< 0.1%

FATIMP48_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)33.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.266666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:33.978632image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median2
Q33
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.162919151
Coefficient of variation (CV)0.5130525667
Kurtosis0.7995208521
Mean2.266666667
Median Absolute Deviation (MAD)1
Skewness0.9730994355
Sum34
Variance1.352380952
MonotonicityNot monotonic
2022-09-20T22:39:34.053113image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
26
 
0.2%
14
 
0.1%
33
 
0.1%
41
 
< 0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
14
0.1%
26
0.2%
33
0.1%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
33
0.1%
26
0.2%
14
0.1%

FATIMP49_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)12.8%
Missing2757
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean3.794871795
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:34.135071image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.398862079
Coefficient of variation (CV)0.3686190612
Kurtosis-0.6286724299
Mean3.794871795
Median Absolute Deviation (MAD)1
Skewness-0.8299649705
Sum148
Variance1.956815115
MonotonicityNot monotonic
2022-09-20T22:39:34.210887image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
518
 
0.6%
47
 
0.3%
36
 
0.2%
14
 
0.1%
24
 
0.1%
(Missing)2757
98.6%
ValueCountFrequency (%)
14
 
0.1%
24
 
0.1%
36
 
0.2%
47
 
0.3%
518
0.6%
ValueCountFrequency (%)
518
0.6%
47
 
0.3%
36
 
0.2%
24
 
0.1%
14
 
0.1%

FATIMP50_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)17.6%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.294117647
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:34.292564image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6859943406
Coefficient of variation (CV)0.2990231741
Kurtosis-0.6109375
Mean2.294117647
Median Absolute Deviation (MAD)1
Skewness-0.4555431168
Sum39
Variance0.4705882353
MonotonicityNot monotonic
2022-09-20T22:39:34.367761image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
28
 
0.3%
37
 
0.3%
12
 
0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
12
 
0.1%
28
0.3%
37
0.3%
ValueCountFrequency (%)
37
0.3%
28
0.3%
12
 
0.1%

FATIMP51_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.133333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:34.448841image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.8338093878
Coefficient of variation (CV)0.3908481505
Kurtosis-1.498982346
Mean2.133333333
Median Absolute Deviation (MAD)1
Skewness-0.2742374367
Sum32
Variance0.6952380952
MonotonicityNot monotonic
2022-09-20T22:39:34.523179image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
36
 
0.2%
25
 
0.2%
14
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
14
0.1%
25
0.2%
36
0.2%
ValueCountFrequency (%)
36
0.2%
25
0.2%
14
0.1%

FATIMP52_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.533333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:34.603804image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2.3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6399404734
Coefficient of variation (CV)0.4173524827
Kurtosis-0.1266797021
Mean1.533333333
Median Absolute Deviation (MAD)0
Skewness0.8022883957
Sum23
Variance0.4095238095
MonotonicityNot monotonic
2022-09-20T22:39:34.677967image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
18
 
0.3%
26
 
0.2%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
18
0.3%
26
0.2%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
26
0.2%
18
0.3%

FATIMP53_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.333333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:34.759085image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median2
Q33
95-th percentile3.6
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.112697281
Coefficient of variation (CV)0.4768702631
Kurtosis0.8507055075
Mean2.333333333
Median Absolute Deviation (MAD)1
Skewness0.6647315342
Sum35
Variance1.238095238
MonotonicityNot monotonic
2022-09-20T22:39:34.832208image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
36
 
0.2%
14
 
0.1%
24
 
0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
14
0.1%
24
0.1%
36
0.2%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
36
0.2%
24
0.1%
14
0.1%

FATIMP55_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.266666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:34.911516image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7988086367
Coefficient of variation (CV)0.352415575
Kurtosis-1.131740837
Mean2.266666667
Median Absolute Deviation (MAD)1
Skewness-0.5547871557
Sum34
Variance0.6380952381
MonotonicityNot monotonic
2022-09-20T22:39:34.985982image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
37
 
0.3%
25
 
0.2%
13
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
13
0.1%
25
0.2%
37
0.3%
ValueCountFrequency (%)
37
0.3%
25
0.2%
13
0.1%

FATIMP56_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.933333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:35.065881image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8837151017
Coefficient of variation (CV)0.4570940181
Kurtosis-1.782592779
Mean1.933333333
Median Absolute Deviation (MAD)1
Skewness0.1422444456
Sum29
Variance0.780952381
MonotonicityNot monotonic
2022-09-20T22:39:35.138544image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
16
 
0.2%
35
 
0.2%
24
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
16
0.2%
24
0.1%
35
0.2%
ValueCountFrequency (%)
35
0.2%
24
0.1%
16
0.2%

HI12_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.928571429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:35.225596image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile4.35
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.268814451
Coefficient of variation (CV)0.6579037892
Kurtosis1.538542833
Mean1.928571429
Median Absolute Deviation (MAD)0.5
Skewness1.47136896
Sum27
Variance1.60989011
MonotonicityNot monotonic
2022-09-20T22:39:35.300690image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
17
 
0.3%
24
 
0.1%
31
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
17
0.3%
24
0.1%
31
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
31
 
< 0.1%
24
0.1%
17
0.3%

HI7_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.8%
Missing2133
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean2.751131222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:35.382359image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.209189794
Coefficient of variation (CV)0.4395245796
Kurtosis-1.266534793
Mean2.751131222
Median Absolute Deviation (MAD)1
Skewness0.06503365557
Sum1824
Variance1.462139957
MonotonicityNot monotonic
2022-09-20T22:39:35.454559image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2217
 
7.8%
4216
 
7.7%
1113
 
4.0%
386
 
3.1%
531
 
1.1%
(Missing)2133
76.3%
ValueCountFrequency (%)
1113
4.0%
2217
7.8%
386
 
3.1%
4216
7.7%
531
 
1.1%
ValueCountFrequency (%)
531
 
1.1%
4216
7.7%
386
 
3.1%
2217
7.8%
1113
4.0%

PAINBE2_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)5.0%
Missing2696
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean2.69
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:35.533570image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.001967761
Coefficient of variation (CV)0.3724787215
Kurtosis-0.2913753036
Mean2.69
Median Absolute Deviation (MAD)1
Skewness0.1681642604
Sum269
Variance1.003939394
MonotonicityNot monotonic
2022-09-20T22:39:35.610185image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
339
 
1.4%
230
 
1.1%
415
 
0.5%
112
 
0.4%
54
 
0.1%
(Missing)2696
96.4%
ValueCountFrequency (%)
112
 
0.4%
230
1.1%
339
1.4%
415
 
0.5%
54
 
0.1%
ValueCountFrequency (%)
54
 
0.1%
415
 
0.5%
339
1.4%
230
1.1%
112
 
0.4%

PAINBE2_SF
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)2.4%
Missing2546
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean3.08
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:35.854022image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.521466213
Coefficient of variation (CV)0.4939825367
Kurtosis-1.198687618
Mean3.08
Median Absolute Deviation (MAD)1
Skewness-0.1361721943
Sum770
Variance2.314859438
MonotonicityNot monotonic
2022-09-20T22:39:35.929674image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
479
 
2.8%
167
 
2.4%
342
 
1.5%
535
 
1.3%
219
 
0.7%
68
 
0.3%
(Missing)2546
91.1%
ValueCountFrequency (%)
167
2.4%
219
 
0.7%
342
1.5%
479
2.8%
535
1.3%
ValueCountFrequency (%)
68
 
0.3%
535
1.3%
479
2.8%
342
1.5%
219
 
0.7%

PAINBE3_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)25.0%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:36.005300image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.211060142
Coefficient of variation (CV)0.6055300708
Kurtosis-1.022386704
Mean2
Median Absolute Deviation (MAD)0.5
Skewness0.7721044587
Sum32
Variance1.466666667
MonotonicityNot monotonic
2022-09-20T22:39:36.074966image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
18
 
0.3%
43
 
0.1%
23
 
0.1%
32
 
0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
18
0.3%
23
 
0.1%
32
 
0.1%
43
 
0.1%
ValueCountFrequency (%)
43
 
0.1%
32
 
0.1%
23
 
0.1%
18
0.3%

PAINBE3_SF
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)1.8%
Missing2466
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean2.957575758
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:36.151562image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.404947901
Coefficient of variation (CV)0.475033614
Kurtosis-0.9264630935
Mean2.957575758
Median Absolute Deviation (MAD)1
Skewness0.06249848034
Sum976
Variance1.973878604
MonotonicityNot monotonic
2022-09-20T22:39:36.225536image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
388
 
3.1%
478
 
2.8%
175
 
2.7%
243
 
1.5%
537
 
1.3%
69
 
0.3%
(Missing)2466
88.2%
ValueCountFrequency (%)
175
2.7%
243
1.5%
388
3.1%
478
2.8%
537
1.3%
ValueCountFrequency (%)
69
 
0.3%
537
1.3%
478
2.8%
388
3.1%
243
1.5%

PAINBE6_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)31.2%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.1875
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:36.295512image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q33
95-th percentile4.5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.470544117
Coefficient of variation (CV)0.6722487392
Kurtosis1.407785973
Mean2.1875
Median Absolute Deviation (MAD)0.5
Skewness1.21347984
Sum35
Variance2.1625
MonotonicityNot monotonic
2022-09-20T22:39:36.371804image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
18
 
0.3%
35
 
0.2%
61
 
< 0.1%
21
 
< 0.1%
41
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
18
0.3%
21
 
< 0.1%
35
0.2%
41
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
41
 
< 0.1%
35
0.2%
21
 
< 0.1%
18
0.3%

PAINBE8_Bank
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)1.8%
Missing2462
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean3.634730539
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:36.445161image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.683194737
Coefficient of variation (CV)0.4630865256
Kurtosis-1.06373956
Mean3.634730539
Median Absolute Deviation (MAD)1
Skewness-0.3661094328
Sum1214
Variance2.833144522
MonotonicityNot monotonic
2022-09-20T22:39:36.517726image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
489
 
3.2%
572
 
2.6%
170
 
2.5%
645
 
1.6%
342
 
1.5%
216
 
0.6%
(Missing)2462
88.1%
ValueCountFrequency (%)
170
2.5%
216
 
0.6%
342
1.5%
489
3.2%
572
2.6%
ValueCountFrequency (%)
645
1.6%
572
2.6%
489
3.2%
342
1.5%
216
 
0.6%

PAINBE8_SF
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.333333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:36.590970image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.397276262
Coefficient of variation (CV)0.5988326837
Kurtosis-1.200247106
Mean2.333333333
Median Absolute Deviation (MAD)2
Skewness0.3961070079
Sum35
Variance1.952380952
MonotonicityNot monotonic
2022-09-20T22:39:36.663845image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17
 
0.3%
35
 
0.2%
42
 
0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
35
0.2%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
35
0.2%
17
0.3%

PAINBE9_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.6
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:36.753396image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2.3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.632455532
Coefficient of variation (CV)0.3952847075
Kurtosis-0.3846153846
Mean1.6
Median Absolute Deviation (MAD)1
Skewness0.5473172873
Sum24
Variance0.4
MonotonicityNot monotonic
2022-09-20T22:39:36.827737image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
17
 
0.3%
27
 
0.3%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
27
0.3%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
27
0.3%
17
0.3%

PAINBE11_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)4.1%
Missing2723
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean1.164383562
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:36.905327image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5531148823
Coefficient of variation (CV)0.4750280754
Kurtosis18.20598306
Mean1.164383562
Median Absolute Deviation (MAD)0
Skewness4.119274056
Sum85
Variance0.3059360731
MonotonicityNot monotonic
2022-09-20T22:39:36.972678image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
165
 
2.3%
26
 
0.2%
42
 
0.1%
(Missing)2723
97.4%
ValueCountFrequency (%)
165
2.3%
26
 
0.2%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
26
 
0.2%
165
2.3%

PAINBE13_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)5.5%
Missing2723
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean1.191780822
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:37.047463image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.4
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.615935022
Coefficient of variation (CV)0.5168190414
Kurtosis12.34779424
Mean1.191780822
Median Absolute Deviation (MAD)0
Skewness3.530420201
Sum87
Variance0.3793759513
MonotonicityNot monotonic
2022-09-20T22:39:37.115462image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
165
 
2.3%
24
 
0.1%
42
 
0.1%
32
 
0.1%
(Missing)2723
97.4%
ValueCountFrequency (%)
165
2.3%
24
 
0.1%
32
 
0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
32
 
0.1%
24
 
0.1%
165
2.3%

PAINBE16_Bank
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)2.1%
Missing2506
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean2.927586207
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:37.189313image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.371331924
Coefficient of variation (CV)0.4684172651
Kurtosis-1.110015762
Mean2.927586207
Median Absolute Deviation (MAD)1
Skewness-0.09568821085
Sum849
Variance1.880551247
MonotonicityNot monotonic
2022-09-20T22:39:37.266152image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
484
 
3.0%
170
 
2.5%
369
 
2.5%
234
 
1.2%
530
 
1.1%
63
 
0.1%
(Missing)2506
89.6%
ValueCountFrequency (%)
170
2.5%
234
1.2%
369
2.5%
484
3.0%
530
 
1.1%
ValueCountFrequency (%)
63
 
0.1%
530
 
1.1%
484
3.0%
369
2.5%
234
1.2%

PAINBE17_Bank
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)18.8%
Missing2764
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean3.0625
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:37.340159image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q35
95-th percentile5.45
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.812812821
Coefficient of variation (CV)0.5919388802
Kurtosis-1.637388826
Mean3.0625
Median Absolute Deviation (MAD)1.5
Skewness0.2130709052
Sum98
Variance3.286290323
MonotonicityNot monotonic
2022-09-20T22:39:37.414650image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
510
 
0.4%
19
 
0.3%
27
 
0.3%
33
 
0.1%
62
 
0.1%
41
 
< 0.1%
(Missing)2764
98.9%
ValueCountFrequency (%)
19
0.3%
27
0.3%
33
 
0.1%
41
 
< 0.1%
510
0.4%
ValueCountFrequency (%)
62
 
0.1%
510
0.4%
41
 
< 0.1%
33
 
0.1%
27
0.3%

PAINBE18_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.866666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:37.487457image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.060098827
Coefficient of variation (CV)0.5679100861
Kurtosis0.3225200539
Mean1.866666667
Median Absolute Deviation (MAD)1
Skewness1.129633186
Sum28
Variance1.123809524
MonotonicityNot monotonic
2022-09-20T22:39:37.744991image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17
 
0.3%
25
 
0.2%
42
 
0.1%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
25
0.2%
31
 
< 0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
31
 
< 0.1%
25
0.2%
17
0.3%

PAINBE21_Bank
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)3.9%
Missing2641
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:37.820348image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4.3
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.038230262
Coefficient of variation (CV)0.3460767542
Kurtosis-0.3515697315
Mean3
Median Absolute Deviation (MAD)1
Skewness-0.03526872389
Sum465
Variance1.077922078
MonotonicityNot monotonic
2022-09-20T22:39:37.895382image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
354
 
1.9%
444
 
1.6%
237
 
1.3%
112
 
0.4%
57
 
0.3%
61
 
< 0.1%
(Missing)2641
94.5%
ValueCountFrequency (%)
112
 
0.4%
237
1.3%
354
1.9%
444
1.6%
57
 
0.3%
ValueCountFrequency (%)
61
 
< 0.1%
57
 
0.3%
444
1.6%
354
1.9%
237
1.3%

PAINBE22_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:37.970721image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7237468645
Coefficient of variation (CV)0.4342481187
Kurtosis-0.6541640178
Mean1.666666667
Median Absolute Deviation (MAD)1
Skewness0.6280447997
Sum25
Variance0.5238095238
MonotonicityNot monotonic
2022-09-20T22:39:38.047477image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
17
 
0.3%
26
 
0.2%
32
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
26
0.2%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
26
0.2%
17
0.3%

PAINBE23_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.8
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:38.127321image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.014185106
Coefficient of variation (CV)0.5634361698
Kurtosis1.396011396
Mean1.8
Median Absolute Deviation (MAD)1
Skewness1.403172769
Sum27
Variance1.028571429
MonotonicityNot monotonic
2022-09-20T22:39:38.195552image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
17
 
0.3%
26
 
0.2%
42
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
26
0.2%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
26
0.2%
17
0.3%

PAINBE24_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)6.9%
Missing2724
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean1.305555556
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:38.280577image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8330985585
Coefficient of variation (CV)0.6381180448
Kurtosis7.493782781
Mean1.305555556
Median Absolute Deviation (MAD)0
Skewness2.825521432
Sum94
Variance0.6940532081
MonotonicityNot monotonic
2022-09-20T22:39:38.354918image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
162
 
2.2%
35
 
0.2%
42
 
0.1%
22
 
0.1%
51
 
< 0.1%
(Missing)2724
97.4%
ValueCountFrequency (%)
162
2.2%
22
 
0.1%
35
 
0.2%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
35
 
0.2%
22
 
0.1%
162
2.2%

PAINBE24_SF
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)2.2%
Missing2523
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean4.014652015
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:38.434660image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.283293946
Coefficient of variation (CV)0.3196525979
Kurtosis0.05933583954
Mean4.014652015
Median Absolute Deviation (MAD)1
Skewness-0.6058060044
Sum1096
Variance1.646843353
MonotonicityNot monotonic
2022-09-20T22:39:38.509462image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
496
 
3.4%
572
 
2.6%
343
 
1.5%
629
 
1.0%
117
 
0.6%
216
 
0.6%
(Missing)2523
90.2%
ValueCountFrequency (%)
117
 
0.6%
216
 
0.6%
343
1.5%
496
3.4%
572
2.6%
ValueCountFrequency (%)
629
 
1.0%
572
2.6%
496
3.4%
343
1.5%
216
 
0.6%

PAINBE25_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.066666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:38.582858image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.279880947
Coefficient of variation (CV)0.6192972323
Kurtosis-1.10953946
Mean2.066666667
Median Absolute Deviation (MAD)1
Skewness0.8022883957
Sum31
Variance1.638095238
MonotonicityNot monotonic
2022-09-20T22:39:38.651086image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
17
 
0.3%
44
 
0.1%
24
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
24
0.1%
44
0.1%
ValueCountFrequency (%)
44
0.1%
24
0.1%
17
0.3%

PAINBE25_SF
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)1.8%
Missing2466
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean2.375757576
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:38.726351image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.126370912
Coefficient of variation (CV)0.4741102051
Kurtosis-0.03748682489
Mean2.375757576
Median Absolute Deviation (MAD)1
Skewness0.7360541421
Sum784
Variance1.26871143
MonotonicityNot monotonic
2022-09-20T22:39:38.802700image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2138
 
4.9%
173
 
2.6%
358
 
2.1%
446
 
1.6%
513
 
0.5%
62
 
0.1%
(Missing)2466
88.2%
ValueCountFrequency (%)
173
2.6%
2138
4.9%
358
2.1%
446
 
1.6%
513
 
0.5%
ValueCountFrequency (%)
62
 
0.1%
513
 
0.5%
446
 
1.6%
358
2.1%
2138
4.9%

PAINBE26_Bank
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)4.3%
Missing2655
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean2.957446809
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:38.876830image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.241383677
Coefficient of variation (CV)0.4197484377
Kurtosis-0.639655145
Mean2.957446809
Median Absolute Deviation (MAD)1
Skewness0.4225113909
Sum417
Variance1.541033435
MonotonicityNot monotonic
2022-09-20T22:39:38.951786image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
251
 
1.8%
430
 
1.1%
330
 
1.1%
515
 
0.5%
112
 
0.4%
63
 
0.1%
(Missing)2655
95.0%
ValueCountFrequency (%)
112
 
0.4%
251
1.8%
330
1.1%
430
1.1%
515
 
0.5%
ValueCountFrequency (%)
63
 
0.1%
515
 
0.5%
430
1.1%
330
1.1%
251
1.8%

PAINBE27_Bank
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)2.3%
Missing2540
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean2.390625
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:39.023626image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.266363483
Coefficient of variation (CV)0.5297206725
Kurtosis-0.1154464126
Mean2.390625
Median Absolute Deviation (MAD)1
Skewness0.7736548817
Sum612
Variance1.603676471
MonotonicityNot monotonic
2022-09-20T22:39:39.099671image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
284
 
3.0%
173
 
2.6%
348
 
1.7%
432
 
1.1%
515
 
0.5%
64
 
0.1%
(Missing)2540
90.8%
ValueCountFrequency (%)
173
2.6%
284
3.0%
348
1.7%
432
 
1.1%
515
 
0.5%
ValueCountFrequency (%)
64
 
0.1%
515
 
0.5%
432
 
1.1%
348
1.7%
284
3.0%

PAINBE28_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.733333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:39.175300image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8837151017
Coefficient of variation (CV)0.5098356356
Kurtosis1.821031437
Mean1.733333333
Median Absolute Deviation (MAD)1
Skewness1.317353411
Sum26
Variance0.780952381
MonotonicityNot monotonic
2022-09-20T22:39:39.243869image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17
 
0.3%
26
 
0.2%
31
 
< 0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
26
0.2%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
31
 
< 0.1%
26
0.2%
17
0.3%

PAINBE29_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:39.319717image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.5
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.195228609
Coefficient of variation (CV)0.5976143047
Kurtosis-0.7538461538
Mean2
Median Absolute Deviation (MAD)1
Skewness0.8688392583
Sum30
Variance1.428571429
MonotonicityNot monotonic
2022-09-20T22:39:39.395056image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17
 
0.3%
24
 
0.1%
43
 
0.1%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
24
0.1%
31
 
< 0.1%
43
0.1%
ValueCountFrequency (%)
43
0.1%
31
 
< 0.1%
24
0.1%
17
0.3%

PAINBE31_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)5.5%
Missing2723
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean1.219178082
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:39.661408image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6507810551
Coefficient of variation (CV)0.5337867082
Kurtosis9.613596003
Mean1.219178082
Median Absolute Deviation (MAD)0
Skewness3.169892117
Sum89
Variance0.4235159817
MonotonicityNot monotonic
2022-09-20T22:39:39.730157image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
164
 
2.3%
24
 
0.1%
33
 
0.1%
42
 
0.1%
(Missing)2723
97.4%
ValueCountFrequency (%)
164
2.3%
24
 
0.1%
33
 
0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
33
 
0.1%
24
 
0.1%
164
2.3%

PAINBE32_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)6.8%
Missing2723
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean1.232876712
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:39.814550image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7363677362
Coefficient of variation (CV)0.5972760527
Kurtosis13.83067042
Mean1.232876712
Median Absolute Deviation (MAD)0
Skewness3.676652694
Sum90
Variance0.5422374429
MonotonicityNot monotonic
2022-09-20T22:39:39.892516image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
164
 
2.3%
25
 
0.2%
42
 
0.1%
51
 
< 0.1%
31
 
< 0.1%
(Missing)2723
97.4%
ValueCountFrequency (%)
164
2.3%
25
 
0.2%
31
 
< 0.1%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
31
 
< 0.1%
25
 
0.2%
164
2.3%

PAINBE33_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)4.2%
Missing2701
Missing (%)96.6%
Infinite0
Infinite (%)0.0%
Mean1.484210526
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:39.981319image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8233708336
Coefficient of variation (CV)0.5547533985
Kurtosis2.016801719
Mean1.484210526
Median Absolute Deviation (MAD)0
Skewness1.686804709
Sum141
Variance0.6779395297
MonotonicityNot monotonic
2022-09-20T22:39:40.063151image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
165
 
2.3%
218
 
0.6%
38
 
0.3%
44
 
0.1%
(Missing)2701
96.6%
ValueCountFrequency (%)
165
2.3%
218
 
0.6%
38
 
0.3%
44
 
0.1%
ValueCountFrequency (%)
44
 
0.1%
38
 
0.3%
218
 
0.6%
165
2.3%

PAINBE34_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.5
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:40.152837image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5188745217
Coefficient of variation (CV)0.3459163478
Kurtosis-2.363636364
Mean1.5
Median Absolute Deviation (MAD)0.5
Skewness0
Sum21
Variance0.2692307692
MonotonicityNot monotonic
2022-09-20T22:39:40.237289image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
17
 
0.3%
27
 
0.3%
(Missing)2782
99.5%
ValueCountFrequency (%)
17
0.3%
27
0.3%
ValueCountFrequency (%)
27
0.3%
17
0.3%

PAINBE35_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)4.1%
Missing2723
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean1.136986301
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:40.324211image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4188300004
Coefficient of variation (CV)0.3683685546
Kurtosis10.33462991
Mean1.136986301
Median Absolute Deviation (MAD)0
Skewness3.230716265
Sum83
Variance0.1754185693
MonotonicityNot monotonic
2022-09-20T22:39:40.417008image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
165
 
2.3%
26
 
0.2%
32
 
0.1%
(Missing)2723
97.4%
ValueCountFrequency (%)
165
2.3%
26
 
0.2%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
26
 
0.2%
165
2.3%

PAINBE37_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)3.9%
Missing2720
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean1.144736842
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:40.513685image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4532533469
Coefficient of variation (CV)0.3959454525
Kurtosis21.09734379
Mean1.144736842
Median Absolute Deviation (MAD)0
Skewness4.129369336
Sum87
Variance0.2054385965
MonotonicityNot monotonic
2022-09-20T22:39:40.594135image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
167
 
2.4%
28
 
0.3%
41
 
< 0.1%
(Missing)2720
97.3%
ValueCountFrequency (%)
167
2.4%
28
 
0.3%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
28
 
0.3%
167
2.4%

PAINBE37_SF
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)2.2%
Missing2527
Missing (%)90.4%
Infinite0
Infinite (%)0.0%
Mean3.249070632
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:40.679799image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.301996555
Coefficient of variation (CV)0.4007289167
Kurtosis-0.9359375806
Mean3.249070632
Median Absolute Deviation (MAD)1
Skewness0.2135459237
Sum874
Variance1.695195029
MonotonicityNot monotonic
2022-09-20T22:39:40.768620image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
285
 
3.0%
468
 
2.4%
349
 
1.8%
542
 
1.5%
115
 
0.5%
610
 
0.4%
(Missing)2527
90.4%
ValueCountFrequency (%)
115
 
0.5%
285
3.0%
349
1.8%
468
2.4%
542
1.5%
ValueCountFrequency (%)
610
 
0.4%
542
1.5%
468
2.4%
349
1.8%
285
3.0%

PAINBE38_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)18.8%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.625
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:40.857919image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile2.5
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8062257748
Coefficient of variation (CV)0.4961389384
Kurtosis4.114701866
Mean1.625
Median Absolute Deviation (MAD)0.5
Skewness1.717404017
Sum26
Variance0.65
MonotonicityNot monotonic
2022-09-20T22:39:40.937863image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
18
 
0.3%
27
 
0.3%
41
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
18
0.3%
27
0.3%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
27
0.3%
18
0.3%

PAINBE39_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)12.5%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.5
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:41.025959image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5163977795
Coefficient of variation (CV)0.3442651863
Kurtosis-2.307692308
Mean1.5
Median Absolute Deviation (MAD)0.5
Skewness0
Sum24
Variance0.2666666667
MonotonicityNot monotonic
2022-09-20T22:39:41.110897image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
18
 
0.3%
28
 
0.3%
(Missing)2780
99.4%
ValueCountFrequency (%)
18
0.3%
28
0.3%
ValueCountFrequency (%)
28
0.3%
18
0.3%

PAINBE40_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)13.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.533333333
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:41.202962image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5163977795
Coefficient of variation (CV)0.3367811605
Kurtosis-2.307692308
Mean1.533333333
Median Absolute Deviation (MAD)0
Skewness-0.1489608979
Sum23
Variance0.2666666667
MonotonicityNot monotonic
2022-09-20T22:39:41.290293image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
28
 
0.3%
17
 
0.3%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
28
0.3%
ValueCountFrequency (%)
28
0.3%
17
0.3%

PAINBE41_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)13.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.533333333
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:41.369357image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5163977795
Coefficient of variation (CV)0.3367811605
Kurtosis-2.307692308
Mean1.533333333
Median Absolute Deviation (MAD)0
Skewness-0.1489608979
Sum23
Variance0.2666666667
MonotonicityNot monotonic
2022-09-20T22:39:41.440748image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
28
 
0.3%
17
 
0.3%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
28
0.3%
ValueCountFrequency (%)
28
0.3%
17
0.3%

PAINBE42_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)25.0%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.6875
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:41.514163image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile3.25
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8732124598
Coefficient of variation (CV)0.5174592355
Kurtosis2.01647318
Mean1.6875
Median Absolute Deviation (MAD)0.5
Skewness1.397300853
Sum27
Variance0.7625
MonotonicityNot monotonic
2022-09-20T22:39:41.584357image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
18
 
0.3%
26
 
0.2%
31
 
< 0.1%
41
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
18
0.3%
26
0.2%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
31
 
< 0.1%
26
0.2%
18
0.3%

PAINBE43_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)33.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.333333333
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:41.855939image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.5
95-th percentile4.6
Maximum6
Range5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.588650221
Coefficient of variation (CV)0.6808500946
Kurtosis0.1374428348
Mean2.333333333
Median Absolute Deviation (MAD)1
Skewness0.968407972
Sum35
Variance2.523809524
MonotonicityNot monotonic
2022-09-20T22:39:41.930850image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
17
 
0.3%
43
 
0.1%
22
 
0.1%
32
 
0.1%
61
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
22
 
0.1%
32
 
0.1%
43
0.1%
61
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
43
0.1%
32
 
0.1%
22
 
0.1%
17
0.3%

PAINBE44_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.733333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:42.005234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8837151017
Coefficient of variation (CV)0.5098356356
Kurtosis1.821031437
Mean1.733333333
Median Absolute Deviation (MAD)1
Skewness1.317353411
Sum26
Variance0.780952381
MonotonicityNot monotonic
2022-09-20T22:39:42.076609image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17
 
0.3%
26
 
0.2%
31
 
< 0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
26
0.2%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
31
 
< 0.1%
26
0.2%
17
0.3%

PAINBE45_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)18.8%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.6875
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:42.153203image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2.5
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.793200269
Coefficient of variation (CV)0.4700446038
Kurtosis3.901853158
Mean1.6875
Median Absolute Deviation (MAD)0.5
Skewness1.577981852
Sum27
Variance0.6291666667
MonotonicityNot monotonic
2022-09-20T22:39:42.222944image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
28
 
0.3%
17
 
0.3%
41
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
17
0.3%
28
0.3%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
28
0.3%
17
0.3%

PAINBE45_SF
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)1.8%
Missing2466
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean2.354545455
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:42.299238image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.14790437
Coefficient of variation (CV)0.4875269526
Kurtosis0.2331661769
Mean2.354545455
Median Absolute Deviation (MAD)1
Skewness0.8636647758
Sum777
Variance1.317684443
MonotonicityNot monotonic
2022-09-20T22:39:42.375837image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2143
 
5.1%
175
 
2.7%
353
 
1.9%
441
 
1.5%
515
 
0.5%
63
 
0.1%
(Missing)2466
88.2%
ValueCountFrequency (%)
175
2.7%
2143
5.1%
353
 
1.9%
441
 
1.5%
515
 
0.5%
ValueCountFrequency (%)
63
 
0.1%
515
 
0.5%
441
 
1.5%
353
 
1.9%
2143
5.1%

PAINBE46_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)7.1%
Missing2726
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean1.228571429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:42.452248image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.55
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7454485776
Coefficient of variation (CV)0.6067604701
Kurtosis13.84919382
Mean1.228571429
Median Absolute Deviation (MAD)0
Skewness3.704959454
Sum86
Variance0.5556935818
MonotonicityNot monotonic
2022-09-20T22:39:42.526103image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
162
 
2.2%
24
 
0.1%
42
 
0.1%
31
 
< 0.1%
51
 
< 0.1%
(Missing)2726
97.5%
ValueCountFrequency (%)
162
2.2%
24
 
0.1%
31
 
< 0.1%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
31
 
< 0.1%
24
 
0.1%
162
2.2%

PAINBE47_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)23.5%
Missing2779
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.705882353
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:42.606789image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.046703509
Coefficient of variation (CV)0.6135848155
Kurtosis5.662560889
Mean1.705882353
Median Absolute Deviation (MAD)0
Skewness2.155697215
Sum29
Variance1.095588235
MonotonicityNot monotonic
2022-09-20T22:39:42.678304image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
19
 
0.3%
26
 
0.2%
31
 
< 0.1%
51
 
< 0.1%
(Missing)2779
99.4%
ValueCountFrequency (%)
19
0.3%
26
0.2%
31
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
31
 
< 0.1%
26
0.2%
19
0.3%

PAINBE48_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.733333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:42.756141image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8837151017
Coefficient of variation (CV)0.5098356356
Kurtosis1.821031437
Mean1.733333333
Median Absolute Deviation (MAD)1
Skewness1.317353411
Sum26
Variance0.780952381
MonotonicityNot monotonic
2022-09-20T22:39:42.832182image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17
 
0.3%
26
 
0.2%
31
 
< 0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
26
0.2%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
31
 
< 0.1%
26
0.2%
17
0.3%

PAINBE49_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)25.0%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.8125
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:42.910030image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.046820583
Coefficient of variation (CV)0.5775561838
Kurtosis0.5455915508
Mean1.8125
Median Absolute Deviation (MAD)0.5
Skewness1.218868841
Sum29
Variance1.095833333
MonotonicityNot monotonic
2022-09-20T22:39:42.981845image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
18
 
0.3%
25
 
0.2%
42
 
0.1%
31
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
18
0.3%
25
0.2%
31
 
< 0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
31
 
< 0.1%
25
0.2%
18
0.3%

PAINBE50_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)33.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.133333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:43.062849image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.35576371
Coefficient of variation (CV)0.6355142392
Kurtosis-0.3705726741
Mean2.133333333
Median Absolute Deviation (MAD)1
Skewness0.9151545734
Sum32
Variance1.838095238
MonotonicityNot monotonic
2022-09-20T22:39:43.137112image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
17
 
0.3%
23
 
0.1%
32
 
0.1%
42
 
0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
23
0.1%
32
 
0.1%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
32
 
0.1%
23
0.1%
17
0.3%

PAINBE51_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:43.217358image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7237468645
Coefficient of variation (CV)0.4342481187
Kurtosis-0.6541640178
Mean1.666666667
Median Absolute Deviation (MAD)1
Skewness0.6280447997
Sum25
Variance0.5238095238
MonotonicityNot monotonic
2022-09-20T22:39:43.291287image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
17
 
0.3%
26
 
0.2%
32
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
26
0.2%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
26
0.2%
17
0.3%

PAININ1_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)20.0%
Missing2776
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:43.371327image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.618153594
Coefficient of variation (CV)0.719179375
Kurtosis-0.832494327
Mean2.25
Median Absolute Deviation (MAD)0
Skewness0.8747070679
Sum45
Variance2.618421053
MonotonicityNot monotonic
2022-09-20T22:39:43.442963image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
111
 
0.4%
54
 
0.1%
34
 
0.1%
21
 
< 0.1%
(Missing)2776
99.3%
ValueCountFrequency (%)
111
0.4%
21
 
< 0.1%
34
 
0.1%
54
 
0.1%
ValueCountFrequency (%)
54
 
0.1%
34
 
0.1%
21
 
< 0.1%
111
0.4%

PAININ3_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)6.2%
Missing2716
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean1.2375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:43.522510image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7158910532
Coefficient of variation (CV)0.5784978207
Kurtosis12.42003443
Mean1.2375
Median Absolute Deviation (MAD)0
Skewness3.435274535
Sum99
Variance0.5125
MonotonicityNot monotonic
2022-09-20T22:39:43.788591image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
170
 
2.5%
24
 
0.1%
34
 
0.1%
51
 
< 0.1%
41
 
< 0.1%
(Missing)2716
97.1%
ValueCountFrequency (%)
170
2.5%
24
 
0.1%
34
 
0.1%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
34
 
0.1%
24
 
0.1%
170
2.5%

PAININ3_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.9%
Missing2532
Missing (%)90.6%
Infinite0
Infinite (%)0.0%
Mean3.041666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:43.871422image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.183764805
Coefficient of variation (CV)0.3891829495
Kurtosis-0.950469528
Mean3.041666667
Median Absolute Deviation (MAD)1
Skewness-0.03946494426
Sum803
Variance1.401299113
MonotonicityNot monotonic
2022-09-20T22:39:43.946737image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
473
 
2.6%
268
 
2.4%
366
 
2.4%
530
 
1.1%
127
 
1.0%
(Missing)2532
90.6%
ValueCountFrequency (%)
127
 
1.0%
268
2.4%
366
2.4%
473
2.6%
530
1.1%
ValueCountFrequency (%)
530
1.1%
473
2.6%
366
2.4%
268
2.4%
127
 
1.0%

PAININ5_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.933333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:44.030607image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.5
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.222799287
Coefficient of variation (CV)0.6324823896
Kurtosis-0.7172860812
Mean1.933333333
Median Absolute Deviation (MAD)0
Skewness0.9552302556
Sum29
Variance1.495238095
MonotonicityNot monotonic
2022-09-20T22:39:44.103556image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
18
 
0.3%
23
 
0.1%
43
 
0.1%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
18
0.3%
23
 
0.1%
31
 
< 0.1%
43
 
0.1%
ValueCountFrequency (%)
43
 
0.1%
31
 
< 0.1%
23
 
0.1%
18
0.3%

PAININ6_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.466666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:44.179681image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.060098827
Coefficient of variation (CV)0.722794655
Kurtosis3.454909067
Mean1.466666667
Median Absolute Deviation (MAD)0
Skewness2.175635391
Sum22
Variance1.123809524
MonotonicityNot monotonic
2022-09-20T22:39:44.248680image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
112
 
0.4%
42
 
0.1%
21
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
112
0.4%
21
 
< 0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
21
 
< 0.1%
112
0.4%

PAININ8_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)13.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.266666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:44.324141image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7037315505
Coefficient of variation (CV)0.5555775399
Kurtosis4.349112426
Mean1.266666667
Median Absolute Deviation (MAD)0
Skewness2.404763139
Sum19
Variance0.4952380952
MonotonicityNot monotonic
2022-09-20T22:39:44.402962image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
113
 
0.5%
32
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
113
0.5%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
113
0.5%

PAININ8_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2469
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean2.159021407
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:44.482958image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.156113235
Coefficient of variation (CV)0.5354802095
Kurtosis-0.6839539069
Mean2.159021407
Median Absolute Deviation (MAD)1
Skewness0.6327748943
Sum706
Variance1.336597812
MonotonicityNot monotonic
2022-09-20T22:39:44.557719image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1126
 
4.5%
284
 
3.0%
365
 
2.3%
443
 
1.5%
59
 
0.3%
(Missing)2469
88.3%
ValueCountFrequency (%)
1126
4.5%
284
3.0%
365
2.3%
443
 
1.5%
59
 
0.3%
ValueCountFrequency (%)
59
 
0.3%
443
 
1.5%
365
2.3%
284
3.0%
1126
4.5%

PAININ9_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2462
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean2.718562874
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:44.639358image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.363999716
Coefficient of variation (CV)0.5017355784
Kurtosis-1.189453023
Mean2.718562874
Median Absolute Deviation (MAD)1
Skewness0.2696840138
Sum908
Variance1.860495226
MonotonicityNot monotonic
2022-09-20T22:39:44.711710image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
289
 
3.2%
179
 
2.8%
465
 
2.3%
357
 
2.0%
544
 
1.6%
(Missing)2462
88.1%
ValueCountFrequency (%)
179
2.8%
289
3.2%
357
2.0%
465
2.3%
544
1.6%
ValueCountFrequency (%)
544
1.6%
465
2.3%
357
2.0%
289
3.2%
179
2.8%

PAININ9_SF
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)30.8%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.692307692
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:44.790093image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.182131929
Coefficient of variation (CV)0.6985325035
Kurtosis0.4305514534
Mean1.692307692
Median Absolute Deviation (MAD)0
Skewness1.422346463
Sum22
Variance1.397435897
MonotonicityNot monotonic
2022-09-20T22:39:44.856953image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
19
 
0.3%
42
 
0.1%
21
 
< 0.1%
31
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
19
0.3%
21
 
< 0.1%
31
 
< 0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
31
 
< 0.1%
21
 
< 0.1%
19
0.3%

PAININ10_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)5.8%
Missing2710
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean1.279069767
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:44.932467image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.791887734
Coefficient of variation (CV)0.6191122284
Kurtosis9.227546211
Mean1.279069767
Median Absolute Deviation (MAD)0
Skewness3.092708008
Sum110
Variance0.6270861833
MonotonicityNot monotonic
2022-09-20T22:39:45.007241image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
174
 
2.6%
25
 
0.2%
33
 
0.1%
43
 
0.1%
51
 
< 0.1%
(Missing)2710
96.9%
ValueCountFrequency (%)
174
2.6%
25
 
0.2%
33
 
0.1%
43
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
43
 
0.1%
33
 
0.1%
25
 
0.2%
174
2.6%

PAININ10_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.9%
Missing2539
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean3.190661479
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:45.089842image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.316448803
Coefficient of variation (CV)0.41259432
Kurtosis-1.141534104
Mean3.190661479
Median Absolute Deviation (MAD)1
Skewness-0.1596985335
Sum820
Variance1.733037451
MonotonicityNot monotonic
2022-09-20T22:39:45.163262image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
466
 
2.4%
255
 
2.0%
353
 
1.9%
551
 
1.8%
132
 
1.1%
(Missing)2539
90.8%
ValueCountFrequency (%)
132
1.1%
255
2.0%
353
1.9%
466
2.4%
551
1.8%
ValueCountFrequency (%)
551
1.8%
466
2.4%
353
1.9%
255
2.0%
132
1.1%

PAININ11_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.466666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:45.241301image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.5
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.9154754164
Coefficient of variation (CV)0.6241877839
Kurtosis3.646296885
Mean1.466666667
Median Absolute Deviation (MAD)0
Skewness2.046206501
Sum22
Variance0.8380952381
MonotonicityNot monotonic
2022-09-20T22:39:45.308105image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
111
 
0.4%
22
 
0.1%
31
 
< 0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
111
0.4%
22
 
0.1%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
31
 
< 0.1%
22
 
0.1%
111
0.4%

PAININ12_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)5.4%
Missing2722
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean1.189189189
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:45.381511image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.35
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6121078711
Coefficient of variation (CV)0.5147270735
Kurtosis12.56880728
Mean1.189189189
Median Absolute Deviation (MAD)0
Skewness3.559053031
Sum88
Variance0.3746760459
MonotonicityNot monotonic
2022-09-20T22:39:45.450533image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
166
 
2.4%
24
 
0.1%
32
 
0.1%
42
 
0.1%
(Missing)2722
97.4%
ValueCountFrequency (%)
166
2.4%
24
 
0.1%
32
 
0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
32
 
0.1%
24
 
0.1%
166
2.4%

PAININ13_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)12.8%
Missing2757
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean3.282051282
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:45.721599image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.700599243
Coefficient of variation (CV)0.518151332
Kurtosis-1.585752595
Mean3.282051282
Median Absolute Deviation (MAD)1
Skewness-0.3996745393
Sum128
Variance2.892037787
MonotonicityNot monotonic
2022-09-20T22:39:45.796578image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
514
 
0.5%
112
 
0.4%
48
 
0.3%
34
 
0.1%
21
 
< 0.1%
(Missing)2757
98.6%
ValueCountFrequency (%)
112
0.4%
21
 
< 0.1%
34
 
0.1%
48
0.3%
514
0.5%
ValueCountFrequency (%)
514
0.5%
48
0.3%
34
 
0.1%
21
 
< 0.1%
112
0.4%

PAININ14_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.466666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:45.884577image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.5
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.9154754164
Coefficient of variation (CV)0.6241877839
Kurtosis3.646296885
Mean1.466666667
Median Absolute Deviation (MAD)0
Skewness2.046206501
Sum22
Variance0.8380952381
MonotonicityNot monotonic
2022-09-20T22:39:45.957312image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
111
 
0.4%
22
 
0.1%
31
 
< 0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
111
0.4%
22
 
0.1%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
31
 
< 0.1%
22
 
0.1%
111
0.4%

PAININ14_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2468
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean2.591463415
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:46.033856image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.364979302
Coefficient of variation (CV)0.5267214247
Kurtosis-1.155110031
Mean2.591463415
Median Absolute Deviation (MAD)1
Skewness0.3037623506
Sum850
Variance1.863168494
MonotonicityNot monotonic
2022-09-20T22:39:46.107105image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1100
 
3.6%
372
 
2.6%
263
 
2.3%
457
 
2.0%
536
 
1.3%
(Missing)2468
88.3%
ValueCountFrequency (%)
1100
3.6%
263
2.3%
372
2.6%
457
2.0%
536
 
1.3%
ValueCountFrequency (%)
536
 
1.3%
457
2.0%
372
2.6%
263
2.3%
1100
3.6%

PAININ16_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.333333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:46.185353image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.6
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8164965809
Coefficient of variation (CV)0.6123724357
Kurtosis8.868131868
Mean1.333333333
Median Absolute Deviation (MAD)0
Skewness2.893627993
Sum20
Variance0.6666666667
MonotonicityNot monotonic
2022-09-20T22:39:46.254097image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
112
 
0.4%
22
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
112
0.4%
22
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
22
 
0.1%
112
0.4%

PAININ17_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)20.0%
Missing2771
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean2.56
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:46.331866image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.709775814
Coefficient of variation (CV)0.6678811773
Kurtosis-1.723779874
Mean2.56
Median Absolute Deviation (MAD)1
Skewness0.3782197397
Sum64
Variance2.923333333
MonotonicityNot monotonic
2022-09-20T22:39:46.406741image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
112
 
0.4%
55
 
0.2%
45
 
0.2%
22
 
0.1%
31
 
< 0.1%
(Missing)2771
99.1%
ValueCountFrequency (%)
112
0.4%
22
 
0.1%
31
 
< 0.1%
45
0.2%
55
0.2%
ValueCountFrequency (%)
55
0.2%
45
0.2%
31
 
< 0.1%
22
 
0.1%
112
0.4%

PAININ18_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.714285714
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:46.485982image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.35
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9944903162
Coefficient of variation (CV)0.5801193511
Kurtosis0.5208754209
Mean1.714285714
Median Absolute Deviation (MAD)0
Skewness1.217820919
Sum24
Variance0.989010989
MonotonicityNot monotonic
2022-09-20T22:39:46.557034image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
18
 
0.3%
23
 
0.1%
32
 
0.1%
41
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
18
0.3%
23
 
0.1%
32
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
32
 
0.1%
23
 
0.1%
18
0.3%

PAININ19_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)6.3%
Missing2733
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean1.238095238
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:46.634591image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6889516513
Coefficient of variation (CV)0.5564609492
Kurtosis8.401096811
Mean1.238095238
Median Absolute Deviation (MAD)0
Skewness3.012001415
Sum78
Variance0.4746543779
MonotonicityNot monotonic
2022-09-20T22:39:46.702989image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
155
 
2.0%
23
 
0.1%
33
 
0.1%
42
 
0.1%
(Missing)2733
97.7%
ValueCountFrequency (%)
155
2.0%
23
 
0.1%
33
 
0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
33
 
0.1%
23
 
0.1%
155
2.0%

PAININ20_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)4.6%
Missing2731
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean1.169230769
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:46.777550image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.8
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5174828128
Coefficient of variation (CV)0.4425839846
Kurtosis7.961084565
Mean1.169230769
Median Absolute Deviation (MAD)0
Skewness3.022800379
Sum76
Variance0.2677884615
MonotonicityNot monotonic
2022-09-20T22:39:46.851002image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
158
 
2.1%
34
 
0.1%
23
 
0.1%
(Missing)2731
97.7%
ValueCountFrequency (%)
158
2.1%
23
 
0.1%
34
 
0.1%
ValueCountFrequency (%)
34
 
0.1%
23
 
0.1%
158
2.1%

PAININ22_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.7%
Missing2502
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean2.506802721
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:46.931991image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.75
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.216337021
Coefficient of variation (CV)0.485214497
Kurtosis-1.078611748
Mean2.506802721
Median Absolute Deviation (MAD)1
Skewness0.2475816641
Sum737
Variance1.479475749
MonotonicityNot monotonic
2022-09-20T22:39:47.009073image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
180
 
2.9%
272
 
2.6%
368
 
2.4%
461
 
2.2%
513
 
0.5%
(Missing)2502
89.5%
ValueCountFrequency (%)
180
2.9%
272
2.6%
368
2.4%
461
2.2%
513
 
0.5%
ValueCountFrequency (%)
513
 
0.5%
461
2.2%
368
2.4%
272
2.6%
180
2.9%

PAININ24_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)5.1%
Missing2718
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean1.346153846
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:47.089319image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.680468194
Coefficient of variation (CV)0.5054906584
Kurtosis3.266033705
Mean1.346153846
Median Absolute Deviation (MAD)0
Skewness1.97720729
Sum105
Variance0.463036963
MonotonicityNot monotonic
2022-09-20T22:39:47.157345image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
159
 
2.1%
212
 
0.4%
36
 
0.2%
41
 
< 0.1%
(Missing)2718
97.2%
ValueCountFrequency (%)
159
2.1%
212
 
0.4%
36
 
0.2%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
36
 
0.2%
212
 
0.4%
159
2.1%

PAININ26_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)10.6%
Missing2749
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean3.29787234
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:47.234991image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.516788564
Coefficient of variation (CV)0.4599294356
Kurtosis-1.198163645
Mean3.29787234
Median Absolute Deviation (MAD)1
Skewness-0.6104044195
Sum155
Variance2.300647549
MonotonicityNot monotonic
2022-09-20T22:39:47.311296image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
420
 
0.7%
112
 
0.4%
510
 
0.4%
33
 
0.1%
22
 
0.1%
(Missing)2749
98.3%
ValueCountFrequency (%)
112
0.4%
22
 
0.1%
33
 
0.1%
420
0.7%
510
0.4%
ValueCountFrequency (%)
510
0.4%
420
0.7%
33
 
0.1%
22
 
0.1%
112
0.4%

PAININ26_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.7%
Missing2499
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean2.242424242
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:47.393851image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.174828128
Coefficient of variation (CV)0.5239098408
Kurtosis-0.8996851374
Mean2.242424242
Median Absolute Deviation (MAD)1
Skewness0.5005775603
Sum666
Variance1.38022113
MonotonicityNot monotonic
2022-09-20T22:39:47.668411image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1107
 
3.8%
273
 
2.6%
363
 
2.3%
446
 
1.6%
58
 
0.3%
(Missing)2499
89.4%
ValueCountFrequency (%)
1107
3.8%
273
2.6%
363
2.3%
446
1.6%
58
 
0.3%
ValueCountFrequency (%)
58
 
0.3%
446
1.6%
363
2.3%
273
2.6%
1107
3.8%

PAININ29_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)21.1%
Missing2777
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.842105263
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:47.747690image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.1
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.344253527
Coefficient of variation (CV)0.7297376287
Kurtosis0.4799171625
Mean1.842105263
Median Absolute Deviation (MAD)0
Skewness1.39264883
Sum35
Variance1.807017544
MonotonicityNot monotonic
2022-09-20T22:39:47.822257image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
112
 
0.4%
43
 
0.1%
23
 
0.1%
51
 
< 0.1%
(Missing)2777
99.3%
ValueCountFrequency (%)
112
0.4%
23
 
0.1%
43
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
43
 
0.1%
23
 
0.1%
112
0.4%

PAININ31_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.9%
Missing2531
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean2.966037736
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:47.903941image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.244220487
Coefficient of variation (CV)0.4194890954
Kurtosis-1.025129468
Mean2.966037736
Median Absolute Deviation (MAD)1
Skewness0.1241428525
Sum786
Variance1.54808462
MonotonicityNot monotonic
2022-09-20T22:39:47.979906image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
276
 
2.7%
363
 
2.3%
457
 
2.0%
537
 
1.3%
132
 
1.1%
(Missing)2531
90.5%
ValueCountFrequency (%)
132
1.1%
276
2.7%
363
2.3%
457
2.0%
537
1.3%
ValueCountFrequency (%)
537
1.3%
457
2.0%
363
2.3%
276
2.7%
132
1.1%

PAININ32_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)4.7%
Missing2732
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean1.0625
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:48.061078image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3021089891
Coefficient of variation (CV)0.2843378721
Kurtosis29.62717239
Mean1.0625
Median Absolute Deviation (MAD)0
Skewness5.292387973
Sum68
Variance0.09126984127
MonotonicityNot monotonic
2022-09-20T22:39:48.134862image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
161
 
2.2%
22
 
0.1%
31
 
< 0.1%
(Missing)2732
97.7%
ValueCountFrequency (%)
161
2.2%
22
 
0.1%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
22
 
0.1%
161
2.2%

PAININ34_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)6.3%
Missing2733
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean1.238095238
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:48.215901image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6889516513
Coefficient of variation (CV)0.5564609492
Kurtosis8.401096811
Mean1.238095238
Median Absolute Deviation (MAD)0
Skewness3.012001415
Sum78
Variance0.4746543779
MonotonicityNot monotonic
2022-09-20T22:39:48.285122image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
155
 
2.0%
23
 
0.1%
33
 
0.1%
42
 
0.1%
(Missing)2733
97.7%
ValueCountFrequency (%)
155
2.0%
23
 
0.1%
33
 
0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
33
 
0.1%
23
 
0.1%
155
2.0%

PAININ35_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:48.362093image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2344268
Coefficient of variation (CV)0.7406560798
Kurtosis3.571514423
Mean1.666666667
Median Absolute Deviation (MAD)0
Skewness2.054441538
Sum25
Variance1.523809524
MonotonicityNot monotonic
2022-09-20T22:39:48.435379image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
110
 
0.4%
23
 
0.1%
41
 
< 0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
110
0.4%
23
 
0.1%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
23
 
0.1%
110
0.4%

PAININ36_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.2%
Missing2567
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean2.834061135
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:48.518975image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.067244203
Coefficient of variation (CV)0.3765776926
Kurtosis-0.8306684874
Mean2.834061135
Median Absolute Deviation (MAD)1
Skewness-0.03521007814
Sum649
Variance1.139010189
MonotonicityNot monotonic
2022-09-20T22:39:48.594004image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
368
 
2.4%
265
 
2.3%
461
 
2.2%
126
 
0.9%
59
 
0.3%
(Missing)2567
91.8%
ValueCountFrequency (%)
126
 
0.9%
265
2.3%
368
2.4%
461
2.2%
59
 
0.3%
ValueCountFrequency (%)
59
 
0.3%
461
2.2%
368
2.4%
265
2.3%
126
 
0.9%

PAININ37_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.466666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:48.675366image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.5
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.8338093878
Coefficient of variation (CV)0.5685064008
Kurtosis0.1379245637
Mean1.466666667
Median Absolute Deviation (MAD)0
Skewness1.400253824
Sum22
Variance0.6952380952
MonotonicityNot monotonic
2022-09-20T22:39:48.747811image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
111
 
0.4%
33
 
0.1%
21
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
111
0.4%
21
 
< 0.1%
33
 
0.1%
ValueCountFrequency (%)
33
 
0.1%
21
 
< 0.1%
111
0.4%

PAININ38_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.466666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:48.824397image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9904304019
Coefficient of variation (CV)0.6752934558
Kurtosis2.261903899
Mean1.466666667
Median Absolute Deviation (MAD)0
Skewness1.887366794
Sum22
Variance0.980952381
MonotonicityNot monotonic
2022-09-20T22:39:48.891012image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
112
 
0.4%
32
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
112
0.4%
32
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
32
 
0.1%
112
0.4%

PAININ39_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)6.2%
Missing2732
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean1.203125
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:48.974009image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.85
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6468406123
Coefficient of variation (CV)0.5376337557
Kurtosis11.26716615
Mean1.203125
Median Absolute Deviation (MAD)0
Skewness3.414615191
Sum77
Variance0.4184027778
MonotonicityNot monotonic
2022-09-20T22:39:49.042764image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
157
 
2.0%
23
 
0.1%
32
 
0.1%
42
 
0.1%
(Missing)2732
97.7%
ValueCountFrequency (%)
157
2.0%
23
 
0.1%
32
 
0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
32
 
0.1%
23
 
0.1%
157
2.0%

PAININ40_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)33.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.6
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:49.119456image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.723783215
Coefficient of variation (CV)0.6629935441
Kurtosis-1.814121529
Mean2.6
Median Absolute Deviation (MAD)1
Skewness0.3359714881
Sum39
Variance2.971428571
MonotonicityNot monotonic
2022-09-20T22:39:49.197453image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
17
 
0.3%
53
 
0.1%
43
 
0.1%
21
 
< 0.1%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
21
 
< 0.1%
31
 
< 0.1%
43
0.1%
53
0.1%
ValueCountFrequency (%)
53
0.1%
43
0.1%
31
 
< 0.1%
21
 
< 0.1%
17
0.3%

PAININ42_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.6
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:49.279021image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.681835732
Coefficient of variation (CV)0.6468598968
Kurtosis-1.698453062
Mean2.6
Median Absolute Deviation (MAD)1
Skewness0.4241119985
Sum39
Variance2.828571429
MonotonicityNot monotonic
2022-09-20T22:39:49.354222image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
16
 
0.2%
23
 
0.1%
53
 
0.1%
43
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
16
0.2%
23
0.1%
43
0.1%
53
0.1%
ValueCountFrequency (%)
53
0.1%
43
0.1%
23
0.1%
16
0.2%

PAININ46_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:49.632802image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.112697281
Coefficient of variation (CV)0.6676183683
Kurtosis0.8507055075
Mean1.666666667
Median Absolute Deviation (MAD)0
Skewness1.488998637
Sum25
Variance1.238095238
MonotonicityNot monotonic
2022-09-20T22:39:49.700388image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
110
 
0.4%
22
 
0.1%
42
 
0.1%
31
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
110
0.4%
22
 
0.1%
31
 
< 0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
31
 
< 0.1%
22
 
0.1%
110
0.4%

PAININ47_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)31.2%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:49.775022image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.586400538
Coefficient of variation (CV)0.6679581212
Kurtosis-1.430937818
Mean2.375
Median Absolute Deviation (MAD)0.5
Skewness0.5474630914
Sum38
Variance2.516666667
MonotonicityNot monotonic
2022-09-20T22:39:49.850331image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
18
 
0.3%
43
 
0.1%
32
 
0.1%
52
 
0.1%
21
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
18
0.3%
21
 
< 0.1%
32
 
0.1%
43
 
0.1%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
43
 
0.1%
32
 
0.1%
21
 
< 0.1%
18
0.3%

PAININ48_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)25.0%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.9375
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:49.930599image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.123610253
Coefficient of variation (CV)0.5799278724
Kurtosis-0.8212080048
Mean1.9375
Median Absolute Deviation (MAD)0.5
Skewness0.7817294853
Sum31
Variance1.2625
MonotonicityNot monotonic
2022-09-20T22:39:50.001480image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
18
 
0.3%
23
 
0.1%
33
 
0.1%
42
 
0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
18
0.3%
23
 
0.1%
33
 
0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
33
 
0.1%
23
 
0.1%
18
0.3%

PAININ49_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.266666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:50.077423image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.6
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7988086367
Coefficient of variation (CV)0.6306383974
Kurtosis11.39117844
Mean1.266666667
Median Absolute Deviation (MAD)0
Skewness3.325848389
Sum19
Variance0.6380952381
MonotonicityNot monotonic
2022-09-20T22:39:50.144989image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
113
 
0.5%
21
 
< 0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
113
0.5%
21
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
21
 
< 0.1%
113
0.5%

PAININ50_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.266666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:50.218161image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.6
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7988086367
Coefficient of variation (CV)0.6306383974
Kurtosis11.39117844
Mean1.266666667
Median Absolute Deviation (MAD)0
Skewness3.325848389
Sum19
Variance0.6380952381
MonotonicityNot monotonic
2022-09-20T22:39:50.286610image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
113
 
0.5%
21
 
< 0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
113
0.5%
21
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
21
 
< 0.1%
113
0.5%

PAININ51_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)18.8%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.3125
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:50.360280image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.25
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8732124598
Coefficient of variation (CV)0.6653047313
Kurtosis6.643375437
Mean1.3125
Median Absolute Deviation (MAD)0
Skewness2.722188802
Sum21
Variance0.7625
MonotonicityNot monotonic
2022-09-20T22:39:50.428807image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
114
 
0.5%
41
 
< 0.1%
31
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
114
0.5%
31
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
31
 
< 0.1%
114
0.5%

PAININ52_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.333333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:50.517781image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7237468645
Coefficient of variation (CV)0.5428101483
Kurtosis2.549904641
Mean1.333333333
Median Absolute Deviation (MAD)0
Skewness1.980756676
Sum20
Variance0.5238095238
MonotonicityNot monotonic
2022-09-20T22:39:50.593217image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
112
 
0.4%
32
 
0.1%
21
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
112
0.4%
21
 
< 0.1%
32
 
0.1%
ValueCountFrequency (%)
32
 
0.1%
21
 
< 0.1%
112
0.4%

PAININ53_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.6
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:50.670713image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9856107606
Coefficient of variation (CV)0.6160067254
Kurtosis1.145861059
Mean1.6
Median Absolute Deviation (MAD)0
Skewness1.487466865
Sum24
Variance0.9714285714
MonotonicityNot monotonic
2022-09-20T22:39:50.738955image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
110
 
0.4%
22
 
0.1%
32
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
110
0.4%
22
 
0.1%
32
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
32
 
0.1%
22
 
0.1%
110
0.4%

PAININ54_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:50.815383image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.6
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2344268
Coefficient of variation (CV)0.7406560798
Kurtosis2.625
Mean1.666666667
Median Absolute Deviation (MAD)0
Skewness1.791550914
Sum25
Variance1.523809524
MonotonicityNot monotonic
2022-09-20T22:39:50.886657image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
111
 
0.4%
33
 
0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
111
0.4%
33
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
33
 
0.1%
111
0.4%

PAININ55_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)20.0%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.466666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:50.963803image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9904304019
Coefficient of variation (CV)0.6752934558
Kurtosis2.261903899
Mean1.466666667
Median Absolute Deviation (MAD)0
Skewness1.887366794
Sum22
Variance0.980952381
MonotonicityNot monotonic
2022-09-20T22:39:51.032035image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
112
 
0.4%
32
 
0.1%
41
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
112
0.4%
32
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
32
 
0.1%
112
0.4%

PAININ56_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)4.6%
Missing2731
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean1.092307692
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:51.108261image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3410955201
Coefficient of variation (CV)0.3122705466
Kurtosis17.09286182
Mean1.092307692
Median Absolute Deviation (MAD)0
Skewness4.016274083
Sum71
Variance0.1163461538
MonotonicityNot monotonic
2022-09-20T22:39:51.180532image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
160
 
2.1%
24
 
0.1%
31
 
< 0.1%
(Missing)2731
97.7%
ValueCountFrequency (%)
160
2.1%
24
 
0.1%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
24
 
0.1%
160
2.1%

PFA1_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)11.1%
Missing2751
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean3.222222222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:51.260638image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.535768817
Coefficient of variation (CV)0.4766179087
Kurtosis-1.39817194
Mean3.222222222
Median Absolute Deviation (MAD)2
Skewness-0.2736725667
Sum145
Variance2.358585859
MonotonicityNot monotonic
2022-09-20T22:39:51.335026image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
513
 
0.5%
110
 
0.4%
49
 
0.3%
38
 
0.3%
25
 
0.2%
(Missing)2751
98.4%
ValueCountFrequency (%)
110
0.4%
25
 
0.2%
38
0.3%
49
0.3%
513
0.5%
ValueCountFrequency (%)
513
0.5%
49
0.3%
38
0.3%
25
 
0.2%
110
0.4%

PFA1_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1315
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean1.566509115
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:51.614156image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.807774241
Coefficient of variation (CV)0.5156524357
Kurtosis1.959033326
Mean1.566509115
Median Absolute Deviation (MAD)0
Skewness1.466606629
Sum2320
Variance0.6524992244
MonotonicityNot monotonic
2022-09-20T22:39:51.687021image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1884
31.6%
2405
 
14.5%
3151
 
5.4%
432
 
1.1%
59
 
0.3%
(Missing)1315
47.0%
ValueCountFrequency (%)
1884
31.6%
2405
14.5%
3151
 
5.4%
432
 
1.1%
59
 
0.3%
ValueCountFrequency (%)
59
 
0.3%
432
 
1.1%
3151
 
5.4%
2405
14.5%
1884
31.6%

PFA3_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)25.0%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean3.25
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:51.764661image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.183215957
Coefficient of variation (CV)0.3640664482
Kurtosis-1.468939224
Mean3.25
Median Absolute Deviation (MAD)1
Skewness0.2759687362
Sum52
Variance1.4
MonotonicityNot monotonic
2022-09-20T22:39:51.833817image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
26
 
0.2%
44
 
0.1%
33
 
0.1%
53
 
0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
26
0.2%
33
0.1%
44
0.1%
53
0.1%
ValueCountFrequency (%)
53
0.1%
44
0.1%
33
0.1%
26
0.2%

PFA3_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1287
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean2.86083499
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:51.909747image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.064490559
Coefficient of variation (CV)0.3720908627
Kurtosis-0.4014885219
Mean2.86083499
Median Absolute Deviation (MAD)1
Skewness0.4312934173
Sum4317
Variance1.133140151
MonotonicityNot monotonic
2022-09-20T22:39:51.982027image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3533
19.1%
2512
 
18.3%
4210
 
7.5%
5150
 
5.4%
1104
 
3.7%
(Missing)1287
46.0%
ValueCountFrequency (%)
1104
 
3.7%
2512
18.3%
3533
19.1%
4210
 
7.5%
5150
 
5.4%
ValueCountFrequency (%)
5150
 
5.4%
4210
 
7.5%
3533
19.1%
2512
18.3%
1104
 
3.7%

PFA4_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)4.0%
Missing2672
Missing (%)95.6%
Infinite0
Infinite (%)0.0%
Mean3.532258065
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:52.069418image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.122102294
Coefficient of variation (CV)0.3176727956
Kurtosis-0.133520967
Mean3.532258065
Median Absolute Deviation (MAD)1
Skewness-0.6082161767
Sum438
Variance1.259113559
MonotonicityNot monotonic
2022-09-20T22:39:52.142116image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
444
 
1.6%
336
 
1.3%
525
 
0.9%
210
 
0.4%
19
 
0.3%
(Missing)2672
95.6%
ValueCountFrequency (%)
19
 
0.3%
210
 
0.4%
336
1.3%
444
1.6%
525
0.9%
ValueCountFrequency (%)
525
0.9%
444
1.6%
336
1.3%
210
 
0.4%
19
 
0.3%

PFA5_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1288
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean2.894562334
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:52.220104image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.062179468
Coefficient of variation (CV)0.3669568473
Kurtosis-0.391181422
Mean2.894562334
Median Absolute Deviation (MAD)1
Skewness0.3740237009
Sum4365
Variance1.128225223
MonotonicityNot monotonic
2022-09-20T22:39:52.292670image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3568
20.3%
2469
 
16.8%
4212
 
7.6%
5154
 
5.5%
1105
 
3.8%
(Missing)1288
46.1%
ValueCountFrequency (%)
1105
 
3.8%
2469
16.8%
3568
20.3%
4212
 
7.6%
5154
 
5.5%
ValueCountFrequency (%)
5154
 
5.5%
4212
 
7.6%
3568
20.3%
2469
16.8%
1105
 
3.8%

PFA6_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.285714286
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:52.376277image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13.25
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation0.9138735335
Coefficient of variation (CV)0.2132371578
Kurtosis-1.55543314
Mean4.285714286
Median Absolute Deviation (MAD)0
Skewness-0.6623051612
Sum60
Variance0.8351648352
MonotonicityNot monotonic
2022-09-20T22:39:52.450741image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
58
 
0.3%
34
 
0.1%
42
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
34
0.1%
42
 
0.1%
58
0.3%
ValueCountFrequency (%)
58
0.3%
42
 
0.1%
34
0.1%

PFA7_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.6%
Missing1991
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean2.916770186
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:52.532937image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7476527136
Coefficient of variation (CV)0.2563289755
Kurtosis0.5798465398
Mean2.916770186
Median Absolute Deviation (MAD)0
Skewness0.4585040432
Sum2348
Variance0.5589845802
MonotonicityNot monotonic
2022-09-20T22:39:52.604637image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3452
 
16.2%
2211
 
7.5%
4108
 
3.9%
526
 
0.9%
18
 
0.3%
(Missing)1991
71.2%
ValueCountFrequency (%)
18
 
0.3%
2211
7.5%
3452
16.2%
4108
 
3.9%
526
 
0.9%
ValueCountFrequency (%)
526
 
0.9%
4108
 
3.9%
3452
16.2%
2211
7.5%
18
 
0.3%

PFA8_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.642857143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:52.682562image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.33630621
Coefficient of variation (CV)0.3668291556
Kurtosis-0.737006993
Mean3.642857143
Median Absolute Deviation (MAD)1
Skewness-0.5825472731
Sum51
Variance1.785714286
MonotonicityNot monotonic
2022-09-20T22:39:52.756332image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
55
 
0.2%
43
 
0.1%
33
 
0.1%
22
 
0.1%
11
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
22
 
0.1%
33
0.1%
43
0.1%
55
0.2%
ValueCountFrequency (%)
55
0.2%
43
0.1%
33
0.1%
22
 
0.1%
11
 
< 0.1%

PFA9_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)30.8%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:52.832973image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.154700538
Coefficient of variation (CV)0.2886751346
Kurtosis-0.825
Mean4
Median Absolute Deviation (MAD)1
Skewness-0.7676134261
Sum52
Variance1.333333333
MonotonicityNot monotonic
2022-09-20T22:39:52.901095image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
56
 
0.2%
43
 
0.1%
32
 
0.1%
22
 
0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
22
 
0.1%
32
 
0.1%
43
0.1%
56
0.2%
ValueCountFrequency (%)
56
0.2%
43
0.1%
32
 
0.1%
22
 
0.1%

PFA10_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.857142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:52.978792image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.65748386
Coefficient of variation (CV)0.5801193511
Kurtosis-1.759112727
Mean2.857142857
Median Absolute Deviation (MAD)2
Skewness0.02654626151
Sum40
Variance2.747252747
MonotonicityNot monotonic
2022-09-20T22:39:53.051652image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
15
 
0.2%
43
 
0.1%
53
 
0.1%
32
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
15
0.2%
21
 
< 0.1%
32
 
0.1%
43
0.1%
53
0.1%
ValueCountFrequency (%)
53
0.1%
43
0.1%
32
 
0.1%
21
 
< 0.1%
15
0.2%

PFA11_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1483
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean2.476009139
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:53.131880image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.015690279
Coefficient of variation (CV)0.4102126536
Kurtosis-0.6186779506
Mean2.476009139
Median Absolute Deviation (MAD)1
Skewness0.2204207064
Sum3251
Variance1.031626744
MonotonicityNot monotonic
2022-09-20T22:39:53.203150image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2430
 
15.4%
3424
 
15.2%
1248
 
8.9%
4184
 
6.6%
527
 
1.0%
(Missing)1483
53.0%
ValueCountFrequency (%)
1248
8.9%
2430
15.4%
3424
15.2%
4184
6.6%
527
 
1.0%
ValueCountFrequency (%)
527
 
1.0%
4184
6.6%
3424
15.2%
2430
15.4%
1248
8.9%

PFA11_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.3%
Missing2579
Missing (%)92.2%
Infinite0
Infinite (%)0.0%
Mean3.940092166
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:53.281610image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.058959129
Coefficient of variation (CV)0.2687650654
Kurtosis0.713197666
Mean3.940092166
Median Absolute Deviation (MAD)1
Skewness-1.012915133
Sum855
Variance1.121394436
MonotonicityNot monotonic
2022-09-20T22:39:53.559977image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
478
 
2.8%
577
 
2.8%
344
 
1.6%
110
 
0.4%
28
 
0.3%
(Missing)2579
92.2%
ValueCountFrequency (%)
110
 
0.4%
28
 
0.3%
344
1.6%
478
2.8%
577
2.8%
ValueCountFrequency (%)
577
2.8%
478
2.8%
344
1.6%
28
 
0.3%
110
 
0.4%

PFA12_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.857142857
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:53.642088image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.231455852
Coefficient of variation (CV)0.3192663321
Kurtosis-1.339691814
Mean3.857142857
Median Absolute Deviation (MAD)1
Skewness-0.5531334468
Sum54
Variance1.516483516
MonotonicityNot monotonic
2022-09-20T22:39:53.709981image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
56
 
0.2%
43
 
0.1%
23
 
0.1%
32
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
23
0.1%
32
 
0.1%
43
0.1%
56
0.2%
ValueCountFrequency (%)
56
0.2%
43
0.1%
32
 
0.1%
23
0.1%

PFA13_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)33.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:53.787122image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.195228609
Coefficient of variation (CV)0.3984095364
Kurtosis-0.7538461538
Mean3
Median Absolute Deviation (MAD)1
Skewness-0.2896130861
Sum45
Variance1.428571429
MonotonicityNot monotonic
2022-09-20T22:39:53.861126image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
45
 
0.2%
34
 
0.1%
23
 
0.1%
12
 
0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
12
 
0.1%
23
0.1%
34
0.1%
45
0.2%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
45
0.2%
34
0.1%
23
0.1%
12
 
0.1%

PFA14_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.285714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:53.940966image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3.5
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.266647388
Coefficient of variation (CV)0.3855013788
Kurtosis-0.2313072553
Mean3.285714286
Median Absolute Deviation (MAD)0.5
Skewness-0.6272626113
Sum46
Variance1.604395604
MonotonicityNot monotonic
2022-09-20T22:39:54.014573image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
45
 
0.2%
34
 
0.1%
52
 
0.1%
12
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
12
 
0.1%
21
 
< 0.1%
34
0.1%
45
0.2%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
45
0.2%
34
0.1%
21
 
< 0.1%
12
 
0.1%

PFA15_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.285714286
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:54.092660image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.65
Q14
median4.5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9138735335
Coefficient of variation (CV)0.2132371578
Kurtosis1.753084865
Mean4.285714286
Median Absolute Deviation (MAD)0.5
Skewness-1.367804137
Sum60
Variance0.8351648352
MonotonicityNot monotonic
2022-09-20T22:39:54.163114image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
57
 
0.3%
45
 
0.2%
31
 
< 0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
31
 
< 0.1%
45
0.2%
57
0.3%
ValueCountFrequency (%)
57
0.3%
45
0.2%
31
 
< 0.1%
21
 
< 0.1%

PFA16_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:54.238592image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7595545253
Coefficient of variation (CV)0.1687898945
Kurtosis0.1575757576
Mean4.5
Median Absolute Deviation (MAD)0
Skewness-1.228790432
Sum63
Variance0.5769230769
MonotonicityNot monotonic
2022-09-20T22:39:54.308948image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
59
 
0.3%
43
 
0.1%
32
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
32
 
0.1%
43
 
0.1%
59
0.3%
ValueCountFrequency (%)
59
0.3%
43
 
0.1%
32
 
0.1%

PFA16_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1286
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.897350993
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:54.387347image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.047287956
Coefficient of variation (CV)0.2687178954
Kurtosis-0.4821283329
Mean3.897350993
Median Absolute Deviation (MAD)1
Skewness-0.5948305208
Sum5885
Variance1.096812064
MonotonicityNot monotonic
2022-09-20T22:39:54.459615image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5554
19.8%
4424
 
15.2%
3382
 
13.7%
2123
 
4.4%
127
 
1.0%
(Missing)1286
46.0%
ValueCountFrequency (%)
127
 
1.0%
2123
 
4.4%
3382
13.7%
4424
15.2%
5554
19.8%
ValueCountFrequency (%)
5554
19.8%
4424
15.2%
3382
13.7%
2123
 
4.4%
127
 
1.0%

PFA17_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:54.539052image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q13.25
median4.5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.300887271
Coefficient of variation (CV)0.3252218178
Kurtosis0.688580015
Mean4
Median Absolute Deviation (MAD)0.5
Skewness-1.222941546
Sum56
Variance1.692307692
MonotonicityNot monotonic
2022-09-20T22:39:54.613326image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
57
 
0.3%
43
 
0.1%
32
 
0.1%
11
 
< 0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
21
 
< 0.1%
32
 
0.1%
43
0.1%
57
0.3%
ValueCountFrequency (%)
57
0.3%
43
0.1%
32
 
0.1%
21
 
< 0.1%
11
 
< 0.1%

PFA18_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.357142857
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:54.691460image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.65
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9287827317
Coefficient of variation (CV)0.2131632499
Kurtosis2.029165852
Mean4.357142857
Median Absolute Deviation (MAD)0
Skewness-1.52929433
Sum61
Variance0.8626373626
MonotonicityNot monotonic
2022-09-20T22:39:54.761801image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
58
 
0.3%
44
 
0.1%
31
 
< 0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
31
 
< 0.1%
44
0.1%
58
0.3%
ValueCountFrequency (%)
58
0.3%
44
0.1%
31
 
< 0.1%
21
 
< 0.1%

PFA19_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)15.4%
Missing2770
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean1.730769231
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:54.837335image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.75
95-th percentile3.75
Maximum4
Range3
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.041448695
Coefficient of variation (CV)0.6017259127
Kurtosis-0.344401362
Mean1.730769231
Median Absolute Deviation (MAD)0
Skewness1.051454062
Sum45
Variance1.084615385
MonotonicityNot monotonic
2022-09-20T22:39:54.907297image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
116
 
0.6%
35
 
0.2%
23
 
0.1%
42
 
0.1%
(Missing)2770
99.1%
ValueCountFrequency (%)
116
0.6%
23
 
0.1%
35
 
0.2%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
35
 
0.2%
23
 
0.1%
116
0.6%

PFA20_Bank
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)7.1%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean5
Minimum5
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:54.983523image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum5
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean5
Median Absolute Deviation (MAD)0
Skewness0
Sum70
Variance0
MonotonicityIncreasing
2022-09-20T22:39:55.049669image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
514
 
0.5%
(Missing)2782
99.5%
ValueCountFrequency (%)
514
0.5%
ValueCountFrequency (%)
514
0.5%

PFA21_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.928571429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:55.130023image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4.35
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.328057327
Coefficient of variation (CV)0.4534829897
Kurtosis-1.166231271
Mean2.928571429
Median Absolute Deviation (MAD)1
Skewness-0.3096364479
Sum41
Variance1.763736264
MonotonicityNot monotonic
2022-09-20T22:39:55.205715image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
45
 
0.2%
33
 
0.1%
13
 
0.1%
22
 
0.1%
51
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
13
0.1%
22
 
0.1%
33
0.1%
45
0.2%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
45
0.2%
33
0.1%
22
 
0.1%
13
0.1%

PFA22_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.357142857
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:55.480197image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8418973861
Coefficient of variation (CV)0.1932223509
Kurtosis-1.017126375
Mean4.357142857
Median Absolute Deviation (MAD)0
Skewness-0.8286929382
Sum61
Variance0.7087912088
MonotonicityNot monotonic
2022-09-20T22:39:55.555927image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
58
 
0.3%
43
 
0.1%
33
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
33
 
0.1%
43
 
0.1%
58
0.3%
ValueCountFrequency (%)
58
0.3%
43
 
0.1%
33
 
0.1%

PFA23_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)4.5%
Missing2684
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean2.232142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:55.636868image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9584347493
Coefficient of variation (CV)0.4293787677
Kurtosis1.065343191
Mean2.232142857
Median Absolute Deviation (MAD)0
Skewness1.016742946
Sum250
Variance0.9185971686
MonotonicityNot monotonic
2022-09-20T22:39:55.711104image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
260
 
2.1%
121
 
0.8%
319
 
0.7%
48
 
0.3%
54
 
0.1%
(Missing)2684
96.0%
ValueCountFrequency (%)
121
 
0.8%
260
2.1%
319
 
0.7%
48
 
0.3%
54
 
0.1%
ValueCountFrequency (%)
54
 
0.1%
48
 
0.3%
319
 
0.7%
260
2.1%
121
 
0.8%

PFA25_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.857142857
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:55.790815image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32.75
95-th percentile3.35
Maximum4
Range3
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.027105182
Coefficient of variation (CV)0.5530566365
Kurtosis-0.5439749053
Mean1.857142857
Median Absolute Deviation (MAD)0.5
Skewness0.8214835391
Sum26
Variance1.054945055
MonotonicityNot monotonic
2022-09-20T22:39:55.861940image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17
 
0.3%
23
 
0.1%
33
 
0.1%
41
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
17
0.3%
23
0.1%
33
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
41
 
< 0.1%
33
0.1%
23
0.1%
17
0.3%

PFA28_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.142857143
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:55.938747image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13.25
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.167320591
Coefficient of variation (CV)0.2817670393
Kurtosis-0.5520173115
Mean4.142857143
Median Absolute Deviation (MAD)0
Skewness-0.9948340939
Sum58
Variance1.362637363
MonotonicityNot monotonic
2022-09-20T22:39:56.013147image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
58
 
0.3%
42
 
0.1%
32
 
0.1%
22
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
22
 
0.1%
32
 
0.1%
42
 
0.1%
58
0.3%
ValueCountFrequency (%)
58
0.3%
42
 
0.1%
32
 
0.1%
22
 
0.1%

PFA29_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.928571429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:56.094949image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.206666464
Coefficient of variation (CV)0.3071514636
Kurtosis1.033133758
Mean3.928571429
Median Absolute Deviation (MAD)1
Skewness-1.069530045
Sum55
Variance1.456043956
MonotonicityNot monotonic
2022-09-20T22:39:56.167180image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
56
 
0.2%
34
 
0.1%
43
 
0.1%
11
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
34
0.1%
43
0.1%
56
0.2%
ValueCountFrequency (%)
56
0.2%
43
0.1%
34
0.1%
11
 
< 0.1%

PFA30_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)26.3%
Missing2777
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean4
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:56.246842image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.490711985
Coefficient of variation (CV)0.3726779962
Kurtosis-0.3044117647
Mean4
Median Absolute Deviation (MAD)0
Skewness-1.124610659
Sum76
Variance2.222222222
MonotonicityNot monotonic
2022-09-20T22:39:56.321221image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
512
 
0.4%
12
 
0.1%
32
 
0.1%
22
 
0.1%
41
 
< 0.1%
(Missing)2777
99.3%
ValueCountFrequency (%)
12
 
0.1%
22
 
0.1%
32
 
0.1%
41
 
< 0.1%
512
0.4%
ValueCountFrequency (%)
512
0.4%
41
 
< 0.1%
32
 
0.1%
22
 
0.1%
12
 
0.1%

PFA31_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.214285714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:56.403101image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.251372872
Coefficient of variation (CV)0.3893160048
Kurtosis-0.2413833627
Mean3.214285714
Median Absolute Deviation (MAD)1
Skewness-0.4682576434
Sum45
Variance1.565934066
MonotonicityNot monotonic
2022-09-20T22:39:56.477174image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
35
 
0.2%
44
 
0.1%
12
 
0.1%
52
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
12
 
0.1%
21
 
< 0.1%
35
0.2%
44
0.1%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
44
0.1%
35
0.2%
21
 
< 0.1%
12
 
0.1%

PFA32_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.428571429
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:56.559478image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.283881478
Coefficient of variation (CV)0.2899087207
Kurtosis4.004
Mean4.428571429
Median Absolute Deviation (MAD)0
Skewness-2.232812543
Sum62
Variance1.648351648
MonotonicityNot monotonic
2022-09-20T22:39:56.639427image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
511
 
0.4%
11
 
< 0.1%
41
 
< 0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
21
 
< 0.1%
41
 
< 0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
41
 
< 0.1%
21
 
< 0.1%
11
 
< 0.1%

PFA33_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)33.3%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:56.720661image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.5
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.424279266
Coefficient of variation (CV)0.6473996665
Kurtosis-0.888178475
Mean2.2
Median Absolute Deviation (MAD)1
Skewness0.794152021
Sum33
Variance2.028571429
MonotonicityNot monotonic
2022-09-20T22:39:56.796223image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
17
 
0.3%
43
 
0.1%
23
 
0.1%
31
 
< 0.1%
51
 
< 0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
17
0.3%
23
0.1%
31
 
< 0.1%
43
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
43
0.1%
31
 
< 0.1%
23
0.1%
17
0.3%

PFA34_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.071428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:56.877746image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.141138818
Coefficient of variation (CV)0.2802797097
Kurtosis3.093822377
Mean4.071428571
Median Absolute Deviation (MAD)1
Skewness-1.608430989
Sum57
Variance1.302197802
MonotonicityNot monotonic
2022-09-20T22:39:56.949403image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
56
 
0.2%
45
 
0.2%
32
 
0.1%
11
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
32
 
0.1%
45
0.2%
56
0.2%
ValueCountFrequency (%)
56
0.2%
45
0.2%
32
 
0.1%
11
 
< 0.1%

PFA35_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.857142857
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:57.028099image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.3
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5345224838
Coefficient of variation (CV)0.1100487467
Kurtosis14
Mean4.857142857
Median Absolute Deviation (MAD)0
Skewness-3.741657387
Sum68
Variance0.2857142857
MonotonicityDecreasing
2022-09-20T22:39:57.100230image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
513
 
0.5%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
513
0.5%
ValueCountFrequency (%)
513
0.5%
31
 
< 0.1%

PFA36_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.857142857
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:57.178677image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.3
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5345224838
Coefficient of variation (CV)0.1100487467
Kurtosis14
Mean4.857142857
Median Absolute Deviation (MAD)0
Skewness-3.741657387
Sum68
Variance0.2857142857
MonotonicityDecreasing
2022-09-20T22:39:57.251401image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
513
 
0.5%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
513
0.5%
ValueCountFrequency (%)
513
0.5%
31
 
< 0.1%

PFA37_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.571428571
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:57.537541image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14.25
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.755928946
Coefficient of variation (CV)0.1653594569
Kurtosis0.9361888112
Mean4.571428571
Median Absolute Deviation (MAD)0
Skewness-1.526394987
Sum64
Variance0.5714285714
MonotonicityNot monotonic
2022-09-20T22:39:57.610237image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
510
 
0.4%
42
 
0.1%
32
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
32
 
0.1%
42
 
0.1%
510
0.4%
ValueCountFrequency (%)
510
0.4%
42
 
0.1%
32
 
0.1%

PFA38_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.642857143
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:57.690000image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.3
Q15
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8418973861
Coefficient of variation (CV)0.1813317447
Kurtosis8.169821525
Mean4.642857143
Median Absolute Deviation (MAD)0
Skewness-2.780725193
Sum65
Variance0.7087912088
MonotonicityNot monotonic
2022-09-20T22:39:57.761099image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
511
 
0.4%
42
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
42
 
0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
42
 
0.1%
21
 
< 0.1%

PFA39_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)21.1%
Missing2777
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean1.736842105
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:57.839362image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.1
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.326738074
Coefficient of variation (CV)0.7638794974
Kurtosis0.8119135161
Mean1.736842105
Median Absolute Deviation (MAD)0
Skewness1.498471319
Sum33
Variance1.760233918
MonotonicityNot monotonic
2022-09-20T22:39:57.915578image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
114
 
0.5%
42
 
0.1%
32
 
0.1%
51
 
< 0.1%
(Missing)2777
99.3%
ValueCountFrequency (%)
114
0.5%
32
 
0.1%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
32
 
0.1%
114
0.5%

PFA40_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.857142857
Minimum4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:57.996315image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q15
median5
Q35
95-th percentile5
Maximum5
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3631365196
Coefficient of variation (CV)0.07476340109
Kurtosis3.791666667
Mean4.857142857
Median Absolute Deviation (MAD)0
Skewness-2.294821061
Sum68
Variance0.1318681319
MonotonicityNot monotonic
2022-09-20T22:39:58.068881image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
512
 
0.4%
42
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
42
 
0.1%
512
0.4%
ValueCountFrequency (%)
512
0.4%
42
 
0.1%

PFA41_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.142857143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:58.148268image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median3.5
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.406421693
Coefficient of variation (CV)0.4474978114
Kurtosis-0.9804713805
Mean3.142857143
Median Absolute Deviation (MAD)0.5
Skewness-0.4858666052
Sum44
Variance1.978021978
MonotonicityNot monotonic
2022-09-20T22:39:58.226736image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
45
 
0.2%
13
 
0.1%
33
 
0.1%
52
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
13
0.1%
21
 
< 0.1%
33
0.1%
45
0.2%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
45
0.2%
33
0.1%
21
 
< 0.1%
13
0.1%

PFA42_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.2%
Missing2384
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean2.276699029
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:58.308463image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8663151692
Coefficient of variation (CV)0.3805136991
Kurtosis-0.2706701731
Mean2.276699029
Median Absolute Deviation (MAD)1
Skewness0.2452708452
Sum938
Variance0.7505019725
MonotonicityNot monotonic
2022-09-20T22:39:58.385914image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2168
 
6.0%
3137
 
4.9%
180
 
2.9%
424
 
0.9%
53
 
0.1%
(Missing)2384
85.3%
ValueCountFrequency (%)
180
2.9%
2168
6.0%
3137
4.9%
424
 
0.9%
53
 
0.1%
ValueCountFrequency (%)
53
 
0.1%
424
 
0.9%
3137
4.9%
2168
6.0%
180
2.9%

PFA43_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.928571429
Minimum4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:58.466938image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.65
Q15
median5
Q35
95-th percentile5
Maximum5
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2672612419
Coefficient of variation (CV)0.05422691865
Kurtosis14
Mean4.928571429
Median Absolute Deviation (MAD)0
Skewness-3.741657387
Sum69
Variance0.07142857143
MonotonicityNot monotonic
2022-09-20T22:39:58.541137image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
513
 
0.5%
41
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
41
 
< 0.1%
513
0.5%
ValueCountFrequency (%)
513
0.5%
41
 
< 0.1%

PFA44_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.857142857
Minimum4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:58.616491image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q15
median5
Q35
95-th percentile5
Maximum5
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3631365196
Coefficient of variation (CV)0.07476340109
Kurtosis3.791666667
Mean4.857142857
Median Absolute Deviation (MAD)0
Skewness-2.294821061
Sum68
Variance0.1318681319
MonotonicityNot monotonic
2022-09-20T22:39:58.688576image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
512
 
0.4%
42
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
42
 
0.1%
512
0.4%
ValueCountFrequency (%)
512
0.4%
42
 
0.1%

PFA45_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.642857143
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:58.761761image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.65
Q14.25
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.6333236938
Coefficient of variation (CV)0.1364081802
Kurtosis2.213719101
Mean4.642857143
Median Absolute Deviation (MAD)0
Skewness-1.687120127
Sum65
Variance0.4010989011
MonotonicityNot monotonic
2022-09-20T22:39:58.836346image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
510
 
0.4%
43
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
43
 
0.1%
510
0.4%
ValueCountFrequency (%)
510
0.4%
43
 
0.1%
31
 
< 0.1%

PFA47_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.642857143
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:58.917377image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.65
Q14.25
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.6333236938
Coefficient of variation (CV)0.1364081802
Kurtosis2.213719101
Mean4.642857143
Median Absolute Deviation (MAD)0
Skewness-1.687120127
Sum65
Variance0.4010989011
MonotonicityNot monotonic
2022-09-20T22:39:58.992234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
510
 
0.4%
43
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
43
 
0.1%
510
0.4%
ValueCountFrequency (%)
510
0.4%
43
 
0.1%
31
 
< 0.1%

PFA48_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.785714286
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:59.080490image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.65
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5789342235
Coefficient of variation (CV)0.1209713303
Kurtosis7.679118517
Mean4.785714286
Median Absolute Deviation (MAD)0
Skewness-2.803342338
Sum67
Variance0.3351648352
MonotonicityDecreasing
2022-09-20T22:39:59.170905image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
512
 
0.4%
41
 
< 0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
41
 
< 0.1%
512
0.4%
ValueCountFrequency (%)
512
0.4%
41
 
< 0.1%
31
 
< 0.1%

PFA49_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.857142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:59.275206image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q13.25
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.350620533
Coefficient of variation (CV)0.3501608789
Kurtosis-0.1188851793
Mean3.857142857
Median Absolute Deviation (MAD)1
Skewness-1.012475263
Sum54
Variance1.824175824
MonotonicityNot monotonic
2022-09-20T22:39:59.384130image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
56
 
0.2%
44
 
0.1%
22
 
0.1%
31
 
< 0.1%
11
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
22
 
0.1%
31
 
< 0.1%
44
0.1%
56
0.2%
ValueCountFrequency (%)
56
0.2%
44
0.1%
31
 
< 0.1%
22
 
0.1%
11
 
< 0.1%

PFA5_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.214285714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:59.772689image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.311403912
Coefficient of variation (CV)0.4079923281
Kurtosis-1.176618949
Mean3.214285714
Median Absolute Deviation (MAD)1
Skewness0.01948988043
Sum45
Variance1.71978022
MonotonicityNot monotonic
2022-09-20T22:39:59.882755image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
24
 
0.1%
43
 
0.1%
33
 
0.1%
53
 
0.1%
11
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
24
0.1%
33
0.1%
43
0.1%
53
0.1%
ValueCountFrequency (%)
53
0.1%
43
0.1%
33
0.1%
24
0.1%
11
 
< 0.1%

PFA50_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.857142857
Minimum4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:39:59.993081image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q15
median5
Q35
95-th percentile5
Maximum5
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3631365196
Coefficient of variation (CV)0.07476340109
Kurtosis3.791666667
Mean4.857142857
Median Absolute Deviation (MAD)0
Skewness-2.294821061
Sum68
Variance0.1318681319
MonotonicityNot monotonic
2022-09-20T22:40:00.078816image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
512
 
0.4%
42
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
42
 
0.1%
512
0.4%
ValueCountFrequency (%)
512
0.4%
42
 
0.1%

PFA51_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.928571429
Minimum4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:00.155166image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.65
Q15
median5
Q35
95-th percentile5
Maximum5
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2672612419
Coefficient of variation (CV)0.05422691865
Kurtosis14
Mean4.928571429
Median Absolute Deviation (MAD)0
Skewness-3.741657387
Sum69
Variance0.07142857143
MonotonicityNot monotonic
2022-09-20T22:40:00.234349image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
513
 
0.5%
41
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
41
 
< 0.1%
513
0.5%
ValueCountFrequency (%)
513
0.5%
41
 
< 0.1%

PFA52_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:00.315993image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.3
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8548504143
Coefficient of variation (CV)0.1899667587
Kurtosis5.296902543
Mean4.5
Median Absolute Deviation (MAD)0
Skewness-2.154886086
Sum63
Variance0.7307692308
MonotonicityNot monotonic
2022-09-20T22:40:00.385213image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
59
 
0.3%
44
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
44
0.1%
59
0.3%
ValueCountFrequency (%)
59
0.3%
44
0.1%
21
 
< 0.1%

PFA53_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.2%
Missing2371
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean2.449411765
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:00.465724image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9126500302
Coefficient of variation (CV)0.3725996761
Kurtosis0.547948754
Mean2.449411765
Median Absolute Deviation (MAD)1
Skewness0.5245612494
Sum1041
Variance0.8329300777
MonotonicityNot monotonic
2022-09-20T22:40:00.541854image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2172
 
6.2%
3159
 
5.7%
157
 
2.0%
422
 
0.8%
515
 
0.5%
(Missing)2371
84.8%
ValueCountFrequency (%)
157
 
2.0%
2172
6.2%
3159
5.7%
422
 
0.8%
515
 
0.5%
ValueCountFrequency (%)
515
 
0.5%
422
 
0.8%
3159
5.7%
2172
6.2%
157
 
2.0%

PFA54_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.857142857
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:00.622370image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.3
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5345224838
Coefficient of variation (CV)0.1100487467
Kurtosis14
Mean4.857142857
Median Absolute Deviation (MAD)0
Skewness-3.741657387
Sum68
Variance0.2857142857
MonotonicityDecreasing
2022-09-20T22:40:00.699155image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
513
 
0.5%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
513
0.5%
ValueCountFrequency (%)
513
0.5%
31
 
< 0.1%

PFA55_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)20.0%
Missing2771
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean3.6
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:00.789987image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.471960144
Coefficient of variation (CV)0.4088778179
Kurtosis-1.109151718
Mean3.6
Median Absolute Deviation (MAD)1
Skewness-0.5964335548
Sum90
Variance2.166666667
MonotonicityNot monotonic
2022-09-20T22:40:00.877941image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
510
 
0.4%
45
 
0.2%
24
 
0.1%
13
 
0.1%
33
 
0.1%
(Missing)2771
99.1%
ValueCountFrequency (%)
13
 
0.1%
24
 
0.1%
33
 
0.1%
45
0.2%
510
0.4%
ValueCountFrequency (%)
510
0.4%
45
0.2%
33
 
0.1%
24
 
0.1%
13
 
0.1%

PFA55_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1296
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean3.999333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:00.988383image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.023734134
Coefficient of variation (CV)0.2559761961
Kurtosis-0.6959066127
Mean3.999333333
Median Absolute Deviation (MAD)1
Skewness-0.6299931554
Sum5999
Variance1.048031577
MonotonicityNot monotonic
2022-09-20T22:40:01.084759image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5624
22.3%
4404
 
14.4%
3327
 
11.7%
2137
 
4.9%
18
 
0.3%
(Missing)1296
46.4%
ValueCountFrequency (%)
18
 
0.3%
2137
 
4.9%
3327
11.7%
4404
14.4%
5624
22.3%
ValueCountFrequency (%)
5624
22.3%
4404
14.4%
3327
11.7%
2137
 
4.9%
18
 
0.3%

PFA56_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.642857143
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:01.192320image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7449463437
Coefficient of variation (CV)0.1604499817
Kurtosis2.087442408
Mean4.642857143
Median Absolute Deviation (MAD)0
Skewness-1.874013633
Sum65
Variance0.5549450549
MonotonicityNot monotonic
2022-09-20T22:40:01.284724image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
511
 
0.4%
32
 
0.1%
41
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
32
 
0.1%
41
 
< 0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
41
 
< 0.1%
32
 
0.1%

PFB1_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:01.373168image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median3.5
Q34
95-th percentile4.35
Maximum5
Range4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.414213562
Coefficient of variation (CV)0.4714045208
Kurtosis-1.20979021
Mean3
Median Absolute Deviation (MAD)0.5
Skewness-0.5711247079
Sum42
Variance2
MonotonicityNot monotonic
2022-09-20T22:40:01.454832image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
46
 
0.2%
14
 
0.1%
33
 
0.1%
51
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
14
0.1%
33
0.1%
46
0.2%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
46
0.2%
33
0.1%
14
0.1%

PFB3_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.142857143
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:01.556551image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.65
Q13.25
median4.5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.027105182
Coefficient of variation (CV)0.2479219405
Kurtosis-0.5439749053
Mean4.142857143
Median Absolute Deviation (MAD)0.5
Skewness-0.8214835391
Sum58
Variance1.054945055
MonotonicityNot monotonic
2022-09-20T22:40:01.642883image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
57
 
0.3%
43
 
0.1%
33
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
33
0.1%
43
0.1%
57
0.3%
ValueCountFrequency (%)
57
0.3%
43
0.1%
33
0.1%
21
 
< 0.1%

PFB5_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.1%
Missing2561
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean2.689361702
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:01.732343image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.058791854
Coefficient of variation (CV)0.3936963379
Kurtosis-0.9069417234
Mean2.689361702
Median Absolute Deviation (MAD)1
Skewness-0.2450874487
Sum632
Variance1.121040189
MonotonicityNot monotonic
2022-09-20T22:40:01.812379image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
391
 
3.3%
453
 
1.9%
144
 
1.6%
244
 
1.6%
53
 
0.1%
(Missing)2561
91.6%
ValueCountFrequency (%)
144
1.6%
244
1.6%
391
3.3%
453
1.9%
53
 
0.1%
ValueCountFrequency (%)
53
 
0.1%
453
1.9%
391
3.3%
244
1.6%
144
1.6%

PFB7_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)3.7%
Missing2660
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean3.117647059
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:02.113042image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.465953481
Coefficient of variation (CV)0.4702114938
Kurtosis-1.271963955
Mean3.117647059
Median Absolute Deviation (MAD)1
Skewness-0.1780620032
Sum424
Variance2.149019608
MonotonicityNot monotonic
2022-09-20T22:40:02.191034image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
336
 
1.3%
533
 
1.2%
131
 
1.1%
424
 
0.9%
212
 
0.4%
(Missing)2660
95.1%
ValueCountFrequency (%)
131
1.1%
212
 
0.4%
336
1.3%
424
0.9%
533
1.2%
ValueCountFrequency (%)
533
1.2%
424
0.9%
336
1.3%
212
 
0.4%
131
1.1%

PFB8_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:02.274111image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q33.75
95-th percentile4.35
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.400549343
Coefficient of variation (CV)0.5602197371
Kurtosis-1.300408934
Mean2.5
Median Absolute Deviation (MAD)1.5
Skewness0.2940022842
Sum35
Variance1.961538462
MonotonicityNot monotonic
2022-09-20T22:40:02.352983image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
15
 
0.2%
33
 
0.1%
43
 
0.1%
22
 
0.1%
51
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
15
0.2%
22
 
0.1%
33
0.1%
43
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
43
0.1%
33
0.1%
22
 
0.1%
15
0.2%

PFB9_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.357142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:02.435690image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.549547967
Coefficient of variation (CV)0.6573839859
Kurtosis-1.023818716
Mean2.357142857
Median Absolute Deviation (MAD)1
Skewness0.745770013
Sum33
Variance2.401098901
MonotonicityNot monotonic
2022-09-20T22:40:02.509790image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
16
 
0.2%
23
 
0.1%
52
 
0.1%
42
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
16
0.2%
23
0.1%
31
 
< 0.1%
42
 
0.1%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
42
 
0.1%
31
 
< 0.1%
23
0.1%
16
0.2%

PFB10_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.928571429
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:02.589596image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13.25
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.071611706
Coefficient of variation (CV)0.2727738888
Kurtosis-0.5238516434
Mean3.928571429
Median Absolute Deviation (MAD)1
Skewness-0.7143914489
Sum55
Variance1.148351648
MonotonicityNot monotonic
2022-09-20T22:40:02.658357image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
55
 
0.2%
45
 
0.2%
32
 
0.1%
22
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
22
 
0.1%
32
 
0.1%
45
0.2%
55
0.2%
ValueCountFrequency (%)
55
0.2%
45
0.2%
32
 
0.1%
22
 
0.1%

PFB11_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.214285714
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:02.733184image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.121713759
Coefficient of variation (CV)0.2661693667
Kurtosis0.2798538964
Mean4.214285714
Median Absolute Deviation (MAD)0
Skewness-1.249647437
Sum59
Variance1.258241758
MonotonicityNot monotonic
2022-09-20T22:40:02.811661image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
58
 
0.3%
43
 
0.1%
22
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
22
 
0.1%
31
 
< 0.1%
43
 
0.1%
58
0.3%
ValueCountFrequency (%)
58
0.3%
43
 
0.1%
31
 
< 0.1%
22
 
0.1%

PFB12_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)25.0%
Missing2776
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean3.1
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:02.890407image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.5
Q34.25
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.552586975
Coefficient of variation (CV)0.5008345082
Kurtosis-1.630190567
Mean3.1
Median Absolute Deviation (MAD)1.5
Skewness-0.09000332573
Sum62
Variance2.410526316
MonotonicityNot monotonic
2022-09-20T22:40:02.965397image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
55
 
0.2%
45
 
0.2%
25
 
0.2%
14
 
0.1%
31
 
< 0.1%
(Missing)2776
99.3%
ValueCountFrequency (%)
14
0.1%
25
0.2%
31
 
< 0.1%
45
0.2%
55
0.2%
ValueCountFrequency (%)
55
0.2%
45
0.2%
31
 
< 0.1%
25
0.2%
14
0.1%

PFB13_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.7%
Missing2507
Missing (%)89.7%
Infinite0
Infinite (%)0.0%
Mean2.470588235
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:03.045841image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.076903999
Coefficient of variation (CV)0.4358897137
Kurtosis0.0816712849
Mean2.470588235
Median Absolute Deviation (MAD)1
Skewness0.7064816084
Sum714
Variance1.159722222
MonotonicityNot monotonic
2022-09-20T22:40:03.124560image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2120
 
4.3%
378
 
2.8%
148
 
1.7%
423
 
0.8%
520
 
0.7%
(Missing)2507
89.7%
ValueCountFrequency (%)
148
 
1.7%
2120
4.3%
378
2.8%
423
 
0.8%
520
 
0.7%
ValueCountFrequency (%)
520
 
0.7%
423
 
0.8%
378
2.8%
2120
4.3%
148
 
1.7%

PFB14_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:03.215367image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median3.5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.556623565
Coefficient of variation (CV)0.44474959
Kurtosis-1.363155363
Mean3.5
Median Absolute Deviation (MAD)1.5
Skewness-0.428277383
Sum49
Variance2.423076923
MonotonicityNot monotonic
2022-09-20T22:40:03.299830image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
56
 
0.2%
33
 
0.1%
12
 
0.1%
22
 
0.1%
41
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
12
 
0.1%
22
 
0.1%
33
0.1%
41
 
< 0.1%
56
0.2%
ValueCountFrequency (%)
56
0.2%
41
 
< 0.1%
33
0.1%
22
 
0.1%
12
 
0.1%

PFB15_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.714285714
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:03.383657image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.65
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6112498455
Coefficient of variation (CV)0.1296590581
Kurtosis4.250865052
Mean4.714285714
Median Absolute Deviation (MAD)0
Skewness-2.165283839
Sum66
Variance0.3736263736
MonotonicityNot monotonic
2022-09-20T22:40:03.457285image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
511
 
0.4%
42
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
42
 
0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
42
 
0.1%
31
 
< 0.1%

PFB16_Bank
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)7.1%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean5
Minimum5
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:03.535129image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum5
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean5
Median Absolute Deviation (MAD)0
Skewness0
Sum70
Variance0
MonotonicityIncreasing
2022-09-20T22:40:03.604229image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
514
 
0.5%
(Missing)2782
99.5%
ValueCountFrequency (%)
514
0.5%
ValueCountFrequency (%)
514
0.5%

PFB17_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.714285714
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:03.674591image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.65
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6112498455
Coefficient of variation (CV)0.1296590581
Kurtosis4.250865052
Mean4.714285714
Median Absolute Deviation (MAD)0
Skewness-2.165283839
Sum66
Variance0.3736263736
MonotonicityNot monotonic
2022-09-20T22:40:03.748460image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
511
 
0.4%
42
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
42
 
0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
42
 
0.1%
31
 
< 0.1%

PFB18_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.714285714
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:03.829016image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.65
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6112498455
Coefficient of variation (CV)0.1296590581
Kurtosis4.250865052
Mean4.714285714
Median Absolute Deviation (MAD)0
Skewness-2.165283839
Sum66
Variance0.3736263736
MonotonicityNot monotonic
2022-09-20T22:40:03.902054image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
511
 
0.4%
42
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
42
 
0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
42
 
0.1%
31
 
< 0.1%

PFB19_Bank
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)7.1%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean5
Minimum5
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:04.219318image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum5
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean5
Median Absolute Deviation (MAD)0
Skewness0
Sum70
Variance0
MonotonicityIncreasing
2022-09-20T22:40:04.299391image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
514
 
0.5%
(Missing)2782
99.5%
ValueCountFrequency (%)
514
0.5%
ValueCountFrequency (%)
514
0.5%

PFB20_Bank
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)7.1%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean5
Minimum5
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:04.391252image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum5
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean5
Median Absolute Deviation (MAD)0
Skewness0
Sum70
Variance0
MonotonicityIncreasing
2022-09-20T22:40:04.470494image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
514
 
0.5%
(Missing)2782
99.5%
ValueCountFrequency (%)
514
0.5%
ValueCountFrequency (%)
514
0.5%

PFB21_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)15.4%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.923076923
Minimum4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:04.554610image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.6
Q15
median5
Q35
95-th percentile5
Maximum5
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2773500981
Coefficient of variation (CV)0.05633673868
Kurtosis13
Mean4.923076923
Median Absolute Deviation (MAD)0
Skewness-3.605551275
Sum64
Variance0.07692307692
MonotonicityDecreasing
2022-09-20T22:40:04.633536image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
512
 
0.4%
41
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
41
 
< 0.1%
512
0.4%
ValueCountFrequency (%)
512
0.4%
41
 
< 0.1%

PFB22_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.928571429
Minimum4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:04.712261image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.65
Q15
median5
Q35
95-th percentile5
Maximum5
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2672612419
Coefficient of variation (CV)0.05422691865
Kurtosis14
Mean4.928571429
Median Absolute Deviation (MAD)0
Skewness-3.741657387
Sum69
Variance0.07142857143
MonotonicityNot monotonic
2022-09-20T22:40:04.790352image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
513
 
0.5%
41
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
41
 
< 0.1%
513
0.5%
ValueCountFrequency (%)
513
0.5%
41
 
< 0.1%

PFB23_Bank
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)7.1%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean5
Minimum5
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:04.867124image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum5
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean5
Median Absolute Deviation (MAD)0
Skewness0
Sum70
Variance0
MonotonicityIncreasing
2022-09-20T22:40:04.942328image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
514
 
0.5%
(Missing)2782
99.5%
ValueCountFrequency (%)
514
0.5%
ValueCountFrequency (%)
514
0.5%

PFB24_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)38.5%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.846153846
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:05.019033image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.344504484
Coefficient of variation (CV)0.7282732622
Kurtosis1.403201778
Mean1.846153846
Median Absolute Deviation (MAD)0
Skewness1.542204576
Sum24
Variance1.807692308
MonotonicityNot monotonic
2022-09-20T22:40:05.097391image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
18
 
0.3%
22
 
0.1%
51
 
< 0.1%
41
 
< 0.1%
31
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
18
0.3%
22
 
0.1%
31
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
31
 
< 0.1%
22
 
0.1%
18
0.3%

PFB25_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:05.180119image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.65
Q14.25
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.9405399431
Coefficient of variation (CV)0.2090088763
Kurtosis3.176834508
Mean4.5
Median Absolute Deviation (MAD)0
Skewness-1.941530469
Sum63
Variance0.8846153846
MonotonicityNot monotonic
2022-09-20T22:40:05.251665image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
510
 
0.4%
42
 
0.1%
21
 
< 0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
31
 
< 0.1%
42
 
0.1%
510
0.4%
ValueCountFrequency (%)
510
0.4%
42
 
0.1%
31
 
< 0.1%
21
 
< 0.1%

PFB26_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.571428571
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:05.330010image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.65
Q14
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6462061727
Coefficient of variation (CV)0.1413576003
Kurtosis0.9510198942
Mean4.571428571
Median Absolute Deviation (MAD)0
Skewness-1.303152614
Sum64
Variance0.4175824176
MonotonicityNot monotonic
2022-09-20T22:40:05.404979image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
59
 
0.3%
44
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
44
0.1%
59
0.3%
ValueCountFrequency (%)
59
0.3%
44
0.1%
31
 
< 0.1%

PFB26_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1286
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean4.141721854
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:05.486593image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.055036682
Coefficient of variation (CV)0.2547338328
Kurtosis0.0406009872
Mean4.141721854
Median Absolute Deviation (MAD)0
Skewness-1.007158452
Sum6254
Variance1.113102401
MonotonicityNot monotonic
2022-09-20T22:40:05.565001image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5774
27.7%
4339
 
12.1%
3259
 
9.3%
2113
 
4.0%
125
 
0.9%
(Missing)1286
46.0%
ValueCountFrequency (%)
125
 
0.9%
2113
 
4.0%
3259
 
9.3%
4339
12.1%
5774
27.7%
ValueCountFrequency (%)
5774
27.7%
4339
12.1%
3259
 
9.3%
2113
 
4.0%
125
 
0.9%

PFB27_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.642857143
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:05.649958image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7449463437
Coefficient of variation (CV)0.1604499817
Kurtosis2.087442408
Mean4.642857143
Median Absolute Deviation (MAD)0
Skewness-1.874013633
Sum65
Variance0.5549450549
MonotonicityNot monotonic
2022-09-20T22:40:05.723351image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
511
 
0.4%
32
 
0.1%
41
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
32
 
0.1%
41
 
< 0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
41
 
< 0.1%
32
 
0.1%

PFB28_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.571428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:05.809890image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.504571787
Coefficient of variation (CV)0.4212801005
Kurtosis-0.9583543989
Mean3.571428571
Median Absolute Deviation (MAD)1
Skewness-0.7130371199
Sum50
Variance2.263736264
MonotonicityNot monotonic
2022-09-20T22:40:05.900100image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
55
 
0.2%
44
 
0.1%
12
 
0.1%
22
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
12
 
0.1%
22
 
0.1%
31
 
< 0.1%
44
0.1%
55
0.2%
ValueCountFrequency (%)
55
0.2%
44
0.1%
31
 
< 0.1%
22
 
0.1%
12
 
0.1%

PFB29_Bank
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)7.1%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean5
Minimum5
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:05.986694image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile5
Maximum5
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean5
Median Absolute Deviation (MAD)0
Skewness0
Sum70
Variance0
MonotonicityIncreasing
2022-09-20T22:40:06.061725image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
514
 
0.5%
(Missing)2782
99.5%
ValueCountFrequency (%)
514
0.5%
ValueCountFrequency (%)
514
0.5%

PFB30_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.714285714
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:06.141129image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.65
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6112498455
Coefficient of variation (CV)0.1296590581
Kurtosis4.250865052
Mean4.714285714
Median Absolute Deviation (MAD)0
Skewness-2.165283839
Sum66
Variance0.3736263736
MonotonicityNot monotonic
2022-09-20T22:40:06.474068image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
511
 
0.4%
42
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
42
 
0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
42
 
0.1%
31
 
< 0.1%

PFB31_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.714285714
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:06.557285image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.65
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6112498455
Coefficient of variation (CV)0.1296590581
Kurtosis4.250865052
Mean4.714285714
Median Absolute Deviation (MAD)0
Skewness-2.165283839
Sum66
Variance0.3736263736
MonotonicityNot monotonic
2022-09-20T22:40:06.629900image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
511
 
0.4%
42
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
42
 
0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
42
 
0.1%
31
 
< 0.1%

PFB32_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.357142857
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:06.707566image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.65
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.008208072
Coefficient of variation (CV)0.2313920165
Kurtosis0.8049140049
Mean4.357142857
Median Absolute Deviation (MAD)0
Skewness-1.383240854
Sum61
Variance1.016483516
MonotonicityNot monotonic
2022-09-20T22:40:06.774295image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
59
 
0.3%
42
 
0.1%
32
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
32
 
0.1%
42
 
0.1%
59
0.3%
ValueCountFrequency (%)
59
0.3%
42
 
0.1%
32
 
0.1%
21
 
< 0.1%

PFB33_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.785714286
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:06.847521image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.95
Q15
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8017837257
Coefficient of variation (CV)0.1675368979
Kurtosis14
Mean4.785714286
Median Absolute Deviation (MAD)0
Skewness-3.741657387
Sum67
Variance0.6428571429
MonotonicityDecreasing
2022-09-20T22:40:06.914733image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
513
 
0.5%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
513
0.5%
ValueCountFrequency (%)
513
0.5%
21
 
< 0.1%

PFB34_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.071428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:06.990216image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.384768001
Coefficient of variation (CV)0.3401184565
Kurtosis0.08788851562
Mean4.071428571
Median Absolute Deviation (MAD)0
Skewness-1.16080806
Sum57
Variance1.917582418
MonotonicityNot monotonic
2022-09-20T22:40:07.064422image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
59
 
0.3%
33
 
0.1%
11
 
< 0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
21
 
< 0.1%
33
 
0.1%
59
0.3%
ValueCountFrequency (%)
59
0.3%
33
 
0.1%
21
 
< 0.1%
11
 
< 0.1%

PFB36_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.357142857
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:07.142925image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.65
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9287827317
Coefficient of variation (CV)0.2131632499
Kurtosis2.029165852
Mean4.357142857
Median Absolute Deviation (MAD)0
Skewness-1.52929433
Sum61
Variance0.8626373626
MonotonicityNot monotonic
2022-09-20T22:40:07.213186image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
58
 
0.3%
44
 
0.1%
31
 
< 0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
31
 
< 0.1%
44
0.1%
58
0.3%
ValueCountFrequency (%)
58
0.3%
44
0.1%
31
 
< 0.1%
21
 
< 0.1%

PFB37_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.785714286
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:07.288874image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.95
Q15
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8017837257
Coefficient of variation (CV)0.1675368979
Kurtosis14
Mean4.785714286
Median Absolute Deviation (MAD)0
Skewness-3.741657387
Sum67
Variance0.6428571429
MonotonicityDecreasing
2022-09-20T22:40:07.357347image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
513
 
0.5%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
513
0.5%
ValueCountFrequency (%)
513
0.5%
21
 
< 0.1%

PFB39_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.285714286
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:07.438905image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.65
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9944903162
Coefficient of variation (CV)0.2320477404
Kurtosis0.5208754209
Mean4.285714286
Median Absolute Deviation (MAD)0
Skewness-1.217820919
Sum60
Variance0.989010989
MonotonicityNot monotonic
2022-09-20T22:40:07.511722image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
58
 
0.3%
43
 
0.1%
32
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
32
 
0.1%
43
 
0.1%
58
0.3%
ValueCountFrequency (%)
58
0.3%
43
 
0.1%
32
 
0.1%
21
 
< 0.1%

PFB40_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)28.6%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.857142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:07.590973image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.25
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.406421693
Coefficient of variation (CV)0.3646278463
Kurtosis0.6817340067
Mean3.857142857
Median Absolute Deviation (MAD)1
Skewness-1.25614293
Sum54
Variance1.978021978
MonotonicityNot monotonic
2022-09-20T22:40:07.663806image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
56
 
0.2%
44
 
0.1%
12
 
0.1%
32
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
12
 
0.1%
32
 
0.1%
44
0.1%
56
0.2%
ValueCountFrequency (%)
56
0.2%
44
0.1%
32
 
0.1%
12
 
0.1%

PFB41_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.857142857
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:07.743119image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.3
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5345224838
Coefficient of variation (CV)0.1100487467
Kurtosis14
Mean4.857142857
Median Absolute Deviation (MAD)0
Skewness-3.741657387
Sum68
Variance0.2857142857
MonotonicityDecreasing
2022-09-20T22:40:07.814095image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
513
 
0.5%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
513
0.5%
ValueCountFrequency (%)
513
0.5%
31
 
< 0.1%

PFB42_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.285714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:07.898399image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.637473261
Coefficient of variation (CV)0.4983614273
Kurtosis-1.609913635
Mean3.285714286
Median Absolute Deviation (MAD)1.5
Skewness-0.2903313583
Sum46
Variance2.681318681
MonotonicityNot monotonic
2022-09-20T22:40:07.978484image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
55
 
0.2%
13
 
0.1%
42
 
0.1%
32
 
0.1%
22
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
13
0.1%
22
 
0.1%
32
 
0.1%
42
 
0.1%
55
0.2%
ValueCountFrequency (%)
55
0.2%
42
 
0.1%
32
 
0.1%
22
 
0.1%
13
0.1%

PFB43_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:08.070781image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14.25
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.8548504143
Coefficient of variation (CV)0.1899667587
Kurtosis-0.2029715437
Mean4.5
Median Absolute Deviation (MAD)0
Skewness-1.292931651
Sum63
Variance0.7307692308
MonotonicityNot monotonic
2022-09-20T22:40:08.151677image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
510
 
0.4%
33
 
0.1%
41
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
33
 
0.1%
41
 
< 0.1%
510
0.4%
ValueCountFrequency (%)
510
0.4%
41
 
< 0.1%
33
 
0.1%

PFB44_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)35.7%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.642857143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:08.239071image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.691933025
Coefficient of variation (CV)0.6401908745
Kurtosis-1.700803557
Mean2.642857143
Median Absolute Deviation (MAD)1.5
Skewness0.3244480305
Sum37
Variance2.862637363
MonotonicityNot monotonic
2022-09-20T22:40:08.538920image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
16
 
0.2%
53
 
0.1%
42
 
0.1%
32
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
16
0.2%
21
 
< 0.1%
32
 
0.1%
42
 
0.1%
53
0.1%
ValueCountFrequency (%)
53
0.1%
42
 
0.1%
32
 
0.1%
21
 
< 0.1%
16
0.2%

PFB48_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:08.619969image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.65
Q15
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.019049331
Coefficient of variation (CV)0.2264554068
Kurtosis1.818930041
Mean4.5
Median Absolute Deviation (MAD)0
Skewness-1.780890051
Sum63
Variance1.038461538
MonotonicityNot monotonic
2022-09-20T22:40:08.692291image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
511
 
0.4%
32
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
32
 
0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
32
 
0.1%
21
 
< 0.1%

PFB49_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)38.5%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:08.775979image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.354006401
Coefficient of variation (CV)0.3385016002
Kurtosis0.4210368144
Mean4
Median Absolute Deviation (MAD)0
Skewness-1.190223508
Sum52
Variance1.833333333
MonotonicityNot monotonic
2022-09-20T22:40:08.859664image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
57
 
0.3%
32
 
0.1%
42
 
0.1%
21
 
< 0.1%
11
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
11
 
< 0.1%
21
 
< 0.1%
32
 
0.1%
42
 
0.1%
57
0.3%
ValueCountFrequency (%)
57
0.3%
42
 
0.1%
32
 
0.1%
21
 
< 0.1%
11
 
< 0.1%

PFB50_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.857142857
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:08.956953image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median4
Q34.75
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation0.8644378215
Coefficient of variation (CV)0.2241135093
Kurtosis-1.635223341
Mean3.857142857
Median Absolute Deviation (MAD)1
Skewness0.3062173771
Sum54
Variance0.7472527473
MonotonicityNot monotonic
2022-09-20T22:40:09.036103image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
36
 
0.2%
54
 
0.1%
44
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
36
0.2%
44
0.1%
54
0.1%
ValueCountFrequency (%)
54
0.1%
44
0.1%
36
0.2%

PFB51_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)14.3%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.142857143
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:09.118853image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3631365196
Coefficient of variation (CV)0.3177444547
Kurtosis3.791666667
Mean1.142857143
Median Absolute Deviation (MAD)0
Skewness2.294821061
Sum16
Variance0.1318681319
MonotonicityNot monotonic
2022-09-20T22:40:09.192817image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
112
 
0.4%
22
 
0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
112
0.4%
22
 
0.1%
ValueCountFrequency (%)
22
 
0.1%
112
0.4%

PFB54_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.357142857
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:09.268392image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.65
Q13.5
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.081817762
Coefficient of variation (CV)0.2482860438
Kurtosis-0.02078712136
Mean4.357142857
Median Absolute Deviation (MAD)0
Skewness-1.271551367
Sum61
Variance1.17032967
MonotonicityNot monotonic
2022-09-20T22:40:09.339030image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
510
 
0.4%
33
 
0.1%
21
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
33
 
0.1%
510
0.4%
ValueCountFrequency (%)
510
0.4%
33
 
0.1%
21
 
< 0.1%

PFB56_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.714285714
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:09.418196image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.65
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6112498455
Coefficient of variation (CV)0.1296590581
Kurtosis4.250865052
Mean4.714285714
Median Absolute Deviation (MAD)0
Skewness-2.165283839
Sum66
Variance0.3736263736
MonotonicityNot monotonic
2022-09-20T22:40:09.494304image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
511
 
0.4%
42
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
42
 
0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
42
 
0.1%
31
 
< 0.1%

PFC6_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)30.8%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.153846154
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:09.574362image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.14354375
Coefficient of variation (CV)0.2752975694
Kurtosis-0.02453601762
Mean4.153846154
Median Absolute Deviation (MAD)0
Skewness-1.138687556
Sum54
Variance1.307692308
MonotonicityNot monotonic
2022-09-20T22:40:09.647397image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
57
 
0.3%
43
 
0.1%
22
 
0.1%
31
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
22
 
0.1%
31
 
< 0.1%
43
0.1%
57
0.3%
ValueCountFrequency (%)
57
0.3%
43
0.1%
31
 
< 0.1%
22
 
0.1%

PFC7_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)19.2%
Missing2770
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean1.884615385
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:09.728757image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4512594
Coefficient of variation (CV)0.7700560082
Kurtosis0.4404185219
Mean1.884615385
Median Absolute Deviation (MAD)0
Skewness1.407306434
Sum49
Variance2.106153846
MonotonicityNot monotonic
2022-09-20T22:40:09.805474image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
117
 
0.6%
23
 
0.1%
53
 
0.1%
42
 
0.1%
31
 
< 0.1%
(Missing)2770
99.1%
ValueCountFrequency (%)
117
0.6%
23
 
0.1%
31
 
< 0.1%
42
 
0.1%
53
 
0.1%
ValueCountFrequency (%)
53
 
0.1%
42
 
0.1%
31
 
< 0.1%
23
 
0.1%
117
0.6%

PFC10_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)30.8%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.153846154
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:09.890590image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3.8
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.28102523
Coefficient of variation (CV)0.5947617141
Kurtosis0.1081986861
Mean2.153846154
Median Absolute Deviation (MAD)1
Skewness0.7900499066
Sum28
Variance1.641025641
MonotonicityNot monotonic
2022-09-20T22:40:09.971599image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
16
 
0.2%
35
 
0.2%
51
 
< 0.1%
21
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
16
0.2%
21
 
< 0.1%
35
0.2%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
35
0.2%
21
 
< 0.1%
16
0.2%

PFC12_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1283
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean2.175148711
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:10.059521image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.132313264
Coefficient of variation (CV)0.5205682067
Kurtosis-0.07676820083
Mean2.175148711
Median Absolute Deviation (MAD)1
Skewness0.7911050541
Sum3291
Variance1.282133328
MonotonicityNot monotonic
2022-09-20T22:40:10.140360image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1521
18.6%
2468
 
16.7%
3339
 
12.1%
4108
 
3.9%
577
 
2.8%
(Missing)1283
45.9%
ValueCountFrequency (%)
1521
18.6%
2468
16.7%
3339
12.1%
4108
 
3.9%
577
 
2.8%
ValueCountFrequency (%)
577
 
2.8%
4108
 
3.9%
3339
12.1%
2468
16.7%
1521
18.6%

PFC13_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)27.8%
Missing2778
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.111111111
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:10.228151image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33.75
95-th percentile4.15
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.450715397
Coefficient of variation (CV)0.6871809776
Kurtosis-1.030437676
Mean2.111111111
Median Absolute Deviation (MAD)0
Skewness0.8247162564
Sum38
Variance2.104575163
MonotonicityNot monotonic
2022-09-20T22:40:10.307964image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
110
 
0.4%
44
 
0.1%
22
 
0.1%
31
 
< 0.1%
51
 
< 0.1%
(Missing)2778
99.4%
ValueCountFrequency (%)
110
0.4%
22
 
0.1%
31
 
< 0.1%
44
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
44
 
0.1%
31
 
< 0.1%
22
 
0.1%
110
0.4%

PFC20_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)38.5%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.230769231
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:10.391655image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3634421
Coefficient of variation (CV)0.4220177927
Kurtosis-0.6584006053
Mean3.230769231
Median Absolute Deviation (MAD)1
Skewness-0.2565882778
Sum42
Variance1.858974359
MonotonicityNot monotonic
2022-09-20T22:40:10.696377image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
35
 
0.2%
53
 
0.1%
42
 
0.1%
12
 
0.1%
21
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
12
 
0.1%
21
 
< 0.1%
35
0.2%
42
 
0.1%
53
0.1%
ValueCountFrequency (%)
53
0.1%
42
 
0.1%
35
0.2%
21
 
< 0.1%
12
 
0.1%

PFC29_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)30.8%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.307692308
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:10.778359image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.6
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.031553471
Coefficient of variation (CV)0.2394677701
Kurtosis0.4642183191
Mean4.307692308
Median Absolute Deviation (MAD)0
Skewness-1.270959255
Sum56
Variance1.064102564
MonotonicityNot monotonic
2022-09-20T22:40:10.853890image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
58
 
0.3%
42
 
0.1%
32
 
0.1%
21
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
21
 
< 0.1%
32
 
0.1%
42
 
0.1%
58
0.3%
ValueCountFrequency (%)
58
0.3%
42
 
0.1%
32
 
0.1%
21
 
< 0.1%

PFC31_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)23.1%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.307692308
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:10.937332image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9473309334
Coefficient of variation (CV)0.2199161095
Kurtosis-1.608623377
Mean4.307692308
Median Absolute Deviation (MAD)0
Skewness-0.7320636
Sum56
Variance0.8974358974
MonotonicityNot monotonic
2022-09-20T22:40:11.020034image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
58
 
0.3%
34
 
0.1%
41
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
34
0.1%
41
 
< 0.1%
58
0.3%
ValueCountFrequency (%)
58
0.3%
41
 
< 0.1%
34
0.1%

PFC32_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)30.8%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.846153846
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:11.106983image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.14354375
Coefficient of variation (CV)0.6194195311
Kurtosis-0.02453601762
Mean1.846153846
Median Absolute Deviation (MAD)0
Skewness1.138687556
Sum24
Variance1.307692308
MonotonicityNot monotonic
2022-09-20T22:40:11.181349image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17
 
0.3%
23
 
0.1%
42
 
0.1%
31
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
17
0.3%
23
0.1%
31
 
< 0.1%
42
 
0.1%
ValueCountFrequency (%)
42
 
0.1%
31
 
< 0.1%
23
0.1%
17
0.3%

PFC33_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)27.8%
Missing2778
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.777777778
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:11.262075image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.437135859
Coefficient of variation (CV)0.8083889207
Kurtosis1.240780724
Mean1.777777778
Median Absolute Deviation (MAD)0
Skewness1.6410321
Sum32
Variance2.065359477
MonotonicityNot monotonic
2022-09-20T22:40:11.338260image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
113
 
0.5%
52
 
0.1%
21
 
< 0.1%
41
 
< 0.1%
31
 
< 0.1%
(Missing)2778
99.4%
ValueCountFrequency (%)
113
0.5%
21
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
41
 
< 0.1%
31
 
< 0.1%
21
 
< 0.1%
113
0.5%

PFC34_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)38.5%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.769230769
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:11.430025image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4.4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3634421
Coefficient of variation (CV)0.4923540915
Kurtosis-1.358149389
Mean2.769230769
Median Absolute Deviation (MAD)1
Skewness0.02345161679
Sum36
Variance1.858974359
MonotonicityNot monotonic
2022-09-20T22:40:11.508868image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
44
 
0.1%
23
 
0.1%
13
 
0.1%
32
 
0.1%
51
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
13
0.1%
23
0.1%
32
0.1%
44
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
44
0.1%
32
0.1%
23
0.1%
13
0.1%

PFC35_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)21.4%
Missing2782
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean1.285714286
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:11.595527image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.35
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6112498455
Coefficient of variation (CV)0.4754165465
Kurtosis4.250865052
Mean1.285714286
Median Absolute Deviation (MAD)0
Skewness2.165283839
Sum18
Variance0.3736263736
MonotonicityNot monotonic
2022-09-20T22:40:11.672204image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
111
 
0.4%
22
 
0.1%
31
 
< 0.1%
(Missing)2782
99.5%
ValueCountFrequency (%)
111
0.4%
22
 
0.1%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
22
 
0.1%
111
0.4%

PFC36_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.9%
Missing2265
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean2.649717514
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:11.754841image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.036000526
Coefficient of variation (CV)0.3909852731
Kurtosis-0.2204630506
Mean2.649717514
Median Absolute Deviation (MAD)1
Skewness0.2394687843
Sum1407
Variance1.07329709
MonotonicityNot monotonic
2022-09-20T22:40:11.829735image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3218
 
7.8%
2147
 
5.3%
178
 
2.8%
459
 
2.1%
529
 
1.0%
(Missing)2265
81.0%
ValueCountFrequency (%)
178
 
2.8%
2147
5.3%
3218
7.8%
459
 
2.1%
529
 
1.0%
ValueCountFrequency (%)
529
 
1.0%
459
 
2.1%
3218
7.8%
2147
5.3%
178
 
2.8%

PFC36_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.5%
Missing1801
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean1.811055276
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:11.919873image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.243283117
Coefficient of variation (CV)0.6864965048
Kurtosis0.9452373728
Mean1.811055276
Median Absolute Deviation (MAD)0
Skewness1.469567978
Sum1802
Variance1.545752909
MonotonicityNot monotonic
2022-09-20T22:40:12.016721image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1601
 
21.5%
2187
 
6.7%
374
 
2.6%
573
 
2.6%
460
 
2.1%
(Missing)1801
64.4%
ValueCountFrequency (%)
1601
21.5%
2187
 
6.7%
374
 
2.6%
460
 
2.1%
573
 
2.6%
ValueCountFrequency (%)
573
 
2.6%
460
 
2.1%
374
 
2.6%
2187
 
6.7%
1601
21.5%

PFC37_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)26.7%
Missing2781
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.066666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:12.099623image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.387014608
Coefficient of variation (CV)0.4522873723
Kurtosis-0.9113359927
Mean3.066666667
Median Absolute Deviation (MAD)1
Skewness0.2350163125
Sum46
Variance1.923809524
MonotonicityNot monotonic
2022-09-20T22:40:12.172618image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
36
 
0.2%
54
 
0.1%
23
 
0.1%
12
 
0.1%
(Missing)2781
99.5%
ValueCountFrequency (%)
12
 
0.1%
23
0.1%
36
0.2%
54
0.1%
ValueCountFrequency (%)
54
0.1%
36
0.2%
23
0.1%
12
 
0.1%

PFC37_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1288
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean2.881962865
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:12.251872image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.11125908
Coefficient of variation (CV)0.3855910474
Kurtosis-0.5855325349
Mean2.881962865
Median Absolute Deviation (MAD)1
Skewness0.2689575262
Sum4346
Variance1.234896742
MonotonicityNot monotonic
2022-09-20T22:40:12.324872image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3514
 
18.4%
2450
 
16.1%
4248
 
8.9%
5154
 
5.5%
1142
 
5.1%
(Missing)1288
46.1%
ValueCountFrequency (%)
1142
 
5.1%
2450
16.1%
3514
18.4%
4248
8.9%
5154
 
5.5%
ValueCountFrequency (%)
5154
 
5.5%
4248
8.9%
3514
18.4%
2450
16.1%
1142
 
5.1%

PFC38_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.2%
Missing2571
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean2.133333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:12.404307image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.958980113
Coefficient of variation (CV)0.449521928
Kurtosis0.6299122502
Mean2.133333333
Median Absolute Deviation (MAD)1
Skewness0.8328485373
Sum480
Variance0.9196428571
MonotonicityNot monotonic
2022-09-20T22:40:12.477505image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
299
 
3.5%
160
 
2.1%
348
 
1.7%
412
 
0.4%
56
 
0.2%
(Missing)2571
92.0%
ValueCountFrequency (%)
160
2.1%
299
3.5%
348
1.7%
412
 
0.4%
56
 
0.2%
ValueCountFrequency (%)
56
 
0.2%
412
 
0.4%
348
1.7%
299
3.5%
160
2.1%

PFC39_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)23.1%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.923076923
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:12.556337image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.382120259
Coefficient of variation (CV)0.3523051641
Kurtosis1.843872717
Mean3.923076923
Median Absolute Deviation (MAD)1
Skewness-1.630251172
Sum51
Variance1.91025641
MonotonicityNot monotonic
2022-09-20T22:40:12.838649image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
46
 
0.2%
55
 
0.2%
12
 
0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
12
 
0.1%
46
0.2%
55
0.2%
ValueCountFrequency (%)
55
0.2%
46
0.2%
12
 
0.1%

PFC40_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)38.5%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean2.461538462
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:12.917752image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4.4
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.450022104
Coefficient of variation (CV)0.5890714798
Kurtosis-1.388443026
Mean2.461538462
Median Absolute Deviation (MAD)1
Skewness0.3807572509
Sum32
Variance2.102564103
MonotonicityNot monotonic
2022-09-20T22:40:12.991908image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
15
 
0.2%
43
 
0.1%
22
 
0.1%
32
 
0.1%
51
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
15
0.2%
22
 
0.1%
32
 
0.1%
43
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
43
0.1%
32
 
0.1%
22
 
0.1%
15
0.2%

PFC41_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)30.8%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean3.615384615
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:13.070066image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9607689228
Coefficient of variation (CV)0.2657445957
Kurtosis-0.4431818182
Mean3.615384615
Median Absolute Deviation (MAD)1
Skewness-0.3863698257
Sum47
Variance0.9230769231
MonotonicityNot monotonic
2022-09-20T22:40:13.138543image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
46
 
0.2%
33
 
0.1%
52
 
0.1%
22
 
0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
22
 
0.1%
33
0.1%
46
0.2%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
46
0.2%
33
0.1%
22
 
0.1%

PFC43_Bank
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)23.1%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.615384615
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:13.215480image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.6
Q14
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6504436356
Coefficient of variation (CV)0.1409294544
Kurtosis1.801051841
Mean4.615384615
Median Absolute Deviation (MAD)0
Skewness-1.575529888
Sum60
Variance0.4230769231
MonotonicityNot monotonic
2022-09-20T22:40:13.288317image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
59
 
0.3%
43
 
0.1%
31
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
31
 
< 0.1%
43
 
0.1%
59
0.3%
ValueCountFrequency (%)
59
0.3%
43
 
0.1%
31
 
< 0.1%

PFC45_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)15.4%
Missing2783
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean4.923076923
Minimum4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:13.365261image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.6
Q15
median5
Q35
95-th percentile5
Maximum5
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2773500981
Coefficient of variation (CV)0.05633673868
Kurtosis13
Mean4.923076923
Median Absolute Deviation (MAD)0
Skewness-3.605551275
Sum64
Variance0.07692307692
MonotonicityNot monotonic
2022-09-20T22:40:13.446397image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
512
 
0.4%
41
 
< 0.1%
(Missing)2783
99.5%
ValueCountFrequency (%)
41
 
< 0.1%
512
0.4%
ValueCountFrequency (%)
512
0.4%
41
 
< 0.1%

PFC45_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.3%
Missing1286
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean4.417880795
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:13.546200image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8589439856
Coefficient of variation (CV)0.1944244369
Kurtosis1.121780549
Mean4.417880795
Median Absolute Deviation (MAD)0
Skewness-1.381021017
Sum6671
Variance0.7377847704
MonotonicityNot monotonic
2022-09-20T22:40:13.645057image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5935
33.4%
4335
 
12.0%
3181
 
6.5%
254
 
1.9%
15
 
0.2%
(Missing)1286
46.0%
ValueCountFrequency (%)
15
 
0.2%
254
 
1.9%
3181
 
6.5%
4335
 
12.0%
5935
33.4%
ValueCountFrequency (%)
5935
33.4%
4335
 
12.0%
3181
 
6.5%
254
 
1.9%
15
 
0.2%

PFC46_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)25.0%
Missing2780
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean4.25
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:13.735213image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.341640786
Coefficient of variation (CV)0.3156801851
Kurtosis1.405508072
Mean4.25
Median Absolute Deviation (MAD)0
Skewness-1.65634665
Sum68
Variance1.8
MonotonicityNot monotonic
2022-09-20T22:40:13.816722image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
511
 
0.4%
22
 
0.1%
42
 
0.1%
11
 
< 0.1%
(Missing)2780
99.4%
ValueCountFrequency (%)
11
 
< 0.1%
22
 
0.1%
42
 
0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
42
 
0.1%
22
 
0.1%
11
 
< 0.1%

PFC47_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)16.7%
Missing2784
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean4.75
Minimum4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:13.903649image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14.75
median5
Q35
95-th percentile5
Maximum5
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4522670169
Coefficient of variation (CV)0.09521410881
Kurtosis-0.3259259259
Mean4.75
Median Absolute Deviation (MAD)0
Skewness-1.326649916
Sum57
Variance0.2045454545
MonotonicityNot monotonic
2022-09-20T22:40:13.983456image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
59
 
0.3%
43
 
0.1%
(Missing)2784
99.6%
ValueCountFrequency (%)
43
 
0.1%
59
0.3%
ValueCountFrequency (%)
59
0.3%
43
 
0.1%

PFC49_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)16.7%
Missing2784
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean4.916666667
Minimum4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:14.067810image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.55
Q15
median5
Q35
95-th percentile5
Maximum5
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2886751346
Coefficient of variation (CV)0.0587135867
Kurtosis12
Mean4.916666667
Median Absolute Deviation (MAD)0
Skewness-3.464101615
Sum59
Variance0.08333333333
MonotonicityNot monotonic
2022-09-20T22:40:14.152282image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
511
 
0.4%
41
 
< 0.1%
(Missing)2784
99.6%
ValueCountFrequency (%)
41
 
< 0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
41
 
< 0.1%

PFC51_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)16.7%
Missing2784
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean4.916666667
Minimum4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:14.244278image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.55
Q15
median5
Q35
95-th percentile5
Maximum5
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2886751346
Coefficient of variation (CV)0.0587135867
Kurtosis12
Mean4.916666667
Median Absolute Deviation (MAD)0
Skewness-3.464101615
Sum59
Variance0.08333333333
MonotonicityNot monotonic
2022-09-20T22:40:14.329095image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
511
 
0.4%
41
 
< 0.1%
(Missing)2784
99.6%
ValueCountFrequency (%)
41
 
< 0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
41
 
< 0.1%

PFC52_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)16.7%
Missing2784
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean4.833333333
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:14.414194image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.1
Q15
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5773502692
Coefficient of variation (CV)0.1194517798
Kurtosis12
Mean4.833333333
Median Absolute Deviation (MAD)0
Skewness-3.464101615
Sum58
Variance0.3333333333
MonotonicityDecreasing
2022-09-20T22:40:14.497332image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
511
 
0.4%
31
 
< 0.1%
(Missing)2784
99.6%
ValueCountFrequency (%)
31
 
< 0.1%
511
0.4%
ValueCountFrequency (%)
511
0.4%
31
 
< 0.1%

PFC53_Bank
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)16.7%
Missing2784
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean4.75
Minimum4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:14.593770image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14.75
median5
Q35
95-th percentile5
Maximum5
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4522670169
Coefficient of variation (CV)0.09521410881
Kurtosis-0.3259259259
Mean4.75
Median Absolute Deviation (MAD)0
Skewness-1.326649916
Sum57
Variance0.2045454545
MonotonicityNot monotonic
2022-09-20T22:40:14.681290image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
59
 
0.3%
43
 
0.1%
(Missing)2784
99.6%
ValueCountFrequency (%)
43
 
0.1%
59
0.3%
ValueCountFrequency (%)
59
0.3%
43
 
0.1%

PFC54_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)41.7%
Missing2784
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean3.583333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:14.772196image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.56427929
Coefficient of variation (CV)0.4365430577
Kurtosis-0.9861189123
Mean3.583333333
Median Absolute Deviation (MAD)1
Skewness-0.697855475
Sum43
Variance2.446969697
MonotonicityNot monotonic
2022-09-20T22:40:14.861825image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
55
 
0.2%
12
 
0.1%
42
 
0.1%
32
 
0.1%
21
 
< 0.1%
(Missing)2784
99.6%
ValueCountFrequency (%)
12
 
0.1%
21
 
< 0.1%
32
 
0.1%
42
 
0.1%
55
0.2%
ValueCountFrequency (%)
55
0.2%
42
 
0.1%
32
 
0.1%
21
 
< 0.1%
12
 
0.1%

PFC56_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)9.6%
Missing2744
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean2.730769231
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:15.183371image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.34478491
Coefficient of variation (CV)0.4924564461
Kurtosis-0.9561339879
Mean2.730769231
Median Absolute Deviation (MAD)1
Skewness0.3648232791
Sum142
Variance1.808446456
MonotonicityNot monotonic
2022-09-20T22:40:15.286876image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
214
 
0.5%
313
 
0.5%
111
 
0.4%
58
 
0.3%
46
 
0.2%
(Missing)2744
98.1%
ValueCountFrequency (%)
111
0.4%
214
0.5%
313
0.5%
46
0.2%
58
0.3%
ValueCountFrequency (%)
58
0.3%
46
0.2%
313
0.5%
214
0.5%
111
0.4%

SRPSAT05_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing2111
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean2.543065693
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:15.452678image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.123889681
Coefficient of variation (CV)0.4419428423
Kurtosis-0.5236506718
Mean2.543065693
Median Absolute Deviation (MAD)1
Skewness0.3539586868
Sum1742
Variance1.263128015
MonotonicityNot monotonic
2022-09-20T22:40:15.577912image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3221
 
7.9%
2199
 
7.1%
1140
 
5.0%
484
 
3.0%
541
 
1.5%
(Missing)2111
75.5%
ValueCountFrequency (%)
1140
5.0%
2199
7.1%
3221
7.9%
484
 
3.0%
541
 
1.5%
ValueCountFrequency (%)
541
 
1.5%
484
 
3.0%
3221
7.9%
2199
7.1%
1140
5.0%

SRPSAT05_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)17.2%
Missing2767
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean2.172413793
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:15.698393image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.136063552
Coefficient of variation (CV)0.522949889
Kurtosis-0.3944565719
Mean2.172413793
Median Absolute Deviation (MAD)1
Skewness0.5797290033
Sum63
Variance1.290640394
MonotonicityNot monotonic
2022-09-20T22:40:15.803156image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
111
 
0.4%
39
 
0.3%
26
 
0.2%
42
 
0.1%
51
 
< 0.1%
(Missing)2767
99.0%
ValueCountFrequency (%)
111
0.4%
26
0.2%
39
0.3%
42
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
42
 
0.1%
39
0.3%
26
0.2%
111
0.4%

SRPSAT06_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)5.6%
Missing2707
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean2.112359551
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:15.913769image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.65445818
Coefficient of variation (CV)0.7832275426
Kurtosis-0.8942922826
Mean2.112359551
Median Absolute Deviation (MAD)0
Skewness0.9720586045
Sum188
Variance2.737231869
MonotonicityNot monotonic
2022-09-20T22:40:16.024863image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
158
 
2.1%
517
 
0.6%
47
 
0.3%
24
 
0.1%
33
 
0.1%
(Missing)2707
96.8%
ValueCountFrequency (%)
158
2.1%
24
 
0.1%
33
 
0.1%
47
 
0.3%
517
 
0.6%
ValueCountFrequency (%)
517
 
0.6%
47
 
0.3%
33
 
0.1%
24
 
0.1%
158
2.1%

SRPSAT06_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.8%
Missing2171
Missing (%)77.6%
Infinite0
Infinite (%)0.0%
Mean2.7744
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:16.131595image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.107369255
Coefficient of variation (CV)0.3991382839
Kurtosis-0.664018181
Mean2.7744
Median Absolute Deviation (MAD)1
Skewness0.1137259323
Sum1734
Variance1.226266667
MonotonicityNot monotonic
2022-09-20T22:40:16.232647image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3212
 
7.6%
2165
 
5.9%
4120
 
4.3%
188
 
3.1%
540
 
1.4%
(Missing)2171
77.6%
ValueCountFrequency (%)
188
3.1%
2165
5.9%
3212
7.6%
4120
4.3%
540
 
1.4%
ValueCountFrequency (%)
540
 
1.4%
4120
4.3%
3212
7.6%
2165
5.9%
188
3.1%

SRPSAT07_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.9%
Missing2211
Missing (%)79.1%
Infinite0
Infinite (%)0.0%
Mean2.760683761
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:16.339574image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.157536152
Coefficient of variation (CV)0.419293281
Kurtosis-0.7343694693
Mean2.760683761
Median Absolute Deviation (MAD)1
Skewness0.1504534905
Sum1615
Variance1.339889943
MonotonicityNot monotonic
2022-09-20T22:40:16.439259image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3192
 
6.9%
2147
 
5.3%
4105
 
3.8%
195
 
3.4%
546
 
1.6%
(Missing)2211
79.1%
ValueCountFrequency (%)
195
3.4%
2147
5.3%
3192
6.9%
4105
3.8%
546
 
1.6%
ValueCountFrequency (%)
546
 
1.6%
4105
3.8%
3192
6.9%
2147
5.3%
195
3.4%

SRPSAT07_SF
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)3.1%
Missing2667
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean1.356589147
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:16.551834image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7885751551
Coefficient of variation (CV)0.5812925429
Kurtosis4.297964646
Mean1.356589147
Median Absolute Deviation (MAD)0
Skewness2.281749154
Sum175
Variance0.6218507752
MonotonicityNot monotonic
2022-09-20T22:40:16.653637image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1102
 
3.6%
214
 
0.5%
37
 
0.3%
46
 
0.2%
(Missing)2667
95.4%
ValueCountFrequency (%)
1102
3.6%
214
 
0.5%
37
 
0.3%
46
 
0.2%
ValueCountFrequency (%)
46
 
0.2%
37
 
0.3%
214
 
0.5%
1102
3.6%

SRPSAT08_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)5.0%
Missing2696
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean2.11
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:16.760304image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.575667247
Coefficient of variation (CV)0.7467617284
Kurtosis-0.6169937876
Mean2.11
Median Absolute Deviation (MAD)0
Skewness1.04800213
Sum211
Variance2.482727273
MonotonicityNot monotonic
2022-09-20T22:40:16.885155image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
158
 
2.1%
518
 
0.6%
215
 
0.5%
46
 
0.2%
33
 
0.1%
(Missing)2696
96.4%
ValueCountFrequency (%)
158
2.1%
215
 
0.5%
33
 
0.1%
46
 
0.2%
518
 
0.6%
ValueCountFrequency (%)
518
 
0.6%
46
 
0.2%
33
 
0.1%
215
 
0.5%
158
2.1%

SRPSAT09_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)4.3%
Missing2681
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean1.939130435
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:17.109881image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.500216104
Coefficient of variation (CV)0.7736540449
Kurtosis-0.04123682668
Mean1.939130435
Median Absolute Deviation (MAD)0
Skewness1.27935025
Sum223
Variance2.25064836
MonotonicityNot monotonic
2022-09-20T22:40:17.245116image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
175
 
2.7%
517
 
0.6%
212
 
0.4%
46
 
0.2%
35
 
0.2%
(Missing)2681
95.9%
ValueCountFrequency (%)
175
2.7%
212
 
0.4%
35
 
0.2%
46
 
0.2%
517
 
0.6%
ValueCountFrequency (%)
517
 
0.6%
46
 
0.2%
35
 
0.2%
212
 
0.4%
175
2.7%

SRPSAT10_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)9.1%
Missing2741
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:17.387815image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.778472087
Coefficient of variation (CV)0.6351686024
Kurtosis-1.800871797
Mean2.8
Median Absolute Deviation (MAD)2
Skewness0.1705400857
Sum154
Variance3.162962963
MonotonicityNot monotonic
2022-09-20T22:40:17.500137image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
124
 
0.9%
517
 
0.6%
46
 
0.2%
35
 
0.2%
23
 
0.1%
(Missing)2741
98.0%
ValueCountFrequency (%)
124
0.9%
23
 
0.1%
35
 
0.2%
46
 
0.2%
517
0.6%
ValueCountFrequency (%)
517
0.6%
46
 
0.2%
35
 
0.2%
23
 
0.1%
124
0.9%

SRPSAT10_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.8%
Missing2141
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean2.464122137
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:17.640116image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.113516395
Coefficient of variation (CV)0.4518917216
Kurtosis-0.7664161884
Mean2.464122137
Median Absolute Deviation (MAD)1
Skewness0.2504285963
Sum1614
Variance1.239918762
MonotonicityNot monotonic
2022-09-20T22:40:17.753798image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3208
 
7.4%
2169
 
6.0%
1161
 
5.8%
494
 
3.4%
523
 
0.8%
(Missing)2141
76.6%
ValueCountFrequency (%)
1161
5.8%
2169
6.0%
3208
7.4%
494
3.4%
523
 
0.8%
ValueCountFrequency (%)
523
 
0.8%
494
3.4%
3208
7.4%
2169
6.0%
1161
5.8%

SRPSAT19_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)7.0%
Missing2725
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean2.23943662
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:17.859640image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.72763082
Coefficient of variation (CV)0.7714577875
Kurtosis-1.237717389
Mean2.23943662
Median Absolute Deviation (MAD)0
Skewness0.7980638617
Sum159
Variance2.984708249
MonotonicityNot monotonic
2022-09-20T22:40:17.947965image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
145
 
1.6%
516
 
0.6%
45
 
0.2%
34
 
0.1%
21
 
< 0.1%
(Missing)2725
97.5%
ValueCountFrequency (%)
145
1.6%
21
 
< 0.1%
34
 
0.1%
45
 
0.2%
516
 
0.6%
ValueCountFrequency (%)
516
 
0.6%
45
 
0.2%
34
 
0.1%
21
 
< 0.1%
145
1.6%

SRPSAT20_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)3.3%
Missing2644
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean1.796052632
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:18.309091image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.382668577
Coefficient of variation (CV)0.7698374496
Kurtosis0.9933483122
Mean1.796052632
Median Absolute Deviation (MAD)0
Skewness1.591583612
Sum273
Variance1.911772395
MonotonicityNot monotonic
2022-09-20T22:40:18.407064image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1102
 
3.6%
221
 
0.8%
519
 
0.7%
36
 
0.2%
44
 
0.1%
(Missing)2644
94.6%
ValueCountFrequency (%)
1102
3.6%
221
 
0.8%
36
 
0.2%
44
 
0.1%
519
 
0.7%
ValueCountFrequency (%)
519
 
0.7%
44
 
0.1%
36
 
0.2%
221
 
0.8%
1102
3.6%

SRPSAT20_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.9%
Missing2240
Missing (%)80.1%
Infinite0
Infinite (%)0.0%
Mean2.71942446
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:18.514531image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.017176994
Coefficient of variation (CV)0.3740412756
Kurtosis-0.418302942
Mean2.71942446
Median Absolute Deviation (MAD)1
Skewness0.1402519097
Sum1512
Variance1.034649038
MonotonicityNot monotonic
2022-09-20T22:40:18.611132image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3211
 
7.5%
2162
 
5.8%
492
 
3.3%
167
 
2.4%
524
 
0.9%
(Missing)2240
80.1%
ValueCountFrequency (%)
167
 
2.4%
2162
5.8%
3211
7.5%
492
3.3%
524
 
0.9%
ValueCountFrequency (%)
524
 
0.9%
492
3.3%
3211
7.5%
2162
5.8%
167
 
2.4%

SRPSAT21_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)7.2%
Missing2727
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean2.753623188
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:18.720004image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.826325442
Coefficient of variation (CV)0.6632445027
Kurtosis-1.805409256
Mean2.753623188
Median Absolute Deviation (MAD)1
Skewness0.257754394
Sum190
Variance3.335464621
MonotonicityNot monotonic
2022-09-20T22:40:18.811863image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
132
 
1.1%
524
 
0.9%
36
 
0.2%
24
 
0.1%
43
 
0.1%
(Missing)2727
97.5%
ValueCountFrequency (%)
132
1.1%
24
 
0.1%
36
 
0.2%
43
 
0.1%
524
0.9%
ValueCountFrequency (%)
524
0.9%
43
 
0.1%
36
 
0.2%
24
 
0.1%
132
1.1%

SRPSAT22_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)6.6%
Missing2720
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean2.368421053
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:18.913825image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.703659632
Coefficient of variation (CV)0.7193229556
Kurtosis-1.438847458
Mean2.368421053
Median Absolute Deviation (MAD)0
Skewness0.6136829228
Sum180
Variance2.90245614
MonotonicityNot monotonic
2022-09-20T22:40:19.007968image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
143
 
1.5%
516
 
0.6%
49
 
0.3%
35
 
0.2%
23
 
0.1%
(Missing)2720
97.3%
ValueCountFrequency (%)
143
1.5%
23
 
0.1%
35
 
0.2%
49
 
0.3%
516
 
0.6%
ValueCountFrequency (%)
516
 
0.6%
49
 
0.3%
35
 
0.2%
23
 
0.1%
143
1.5%

SRPSAT23_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing2111
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean2.420437956
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:19.129546image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.050559492
Coefficient of variation (CV)0.4340369434
Kurtosis-0.4303949343
Mean2.420437956
Median Absolute Deviation (MAD)1
Skewness0.3855847652
Sum1658
Variance1.103675247
MonotonicityNot monotonic
2022-09-20T22:40:19.228927image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2227
 
8.1%
3210
 
7.5%
1147
 
5.3%
478
 
2.8%
523
 
0.8%
(Missing)2111
75.5%
ValueCountFrequency (%)
1147
5.3%
2227
8.1%
3210
7.5%
478
 
2.8%
523
 
0.8%
ValueCountFrequency (%)
523
 
0.8%
478
 
2.8%
3210
7.5%
2227
8.1%
1147
5.3%

SRPSAT23_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)18.5%
Missing2769
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean3.592592593
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:19.339895image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34.5
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.185140669
Coefficient of variation (CV)0.329884516
Kurtosis-0.7841174413
Mean3.592592593
Median Absolute Deviation (MAD)1
Skewness-0.4626593657
Sum97
Variance1.404558405
MonotonicityNot monotonic
2022-09-20T22:40:19.460611image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
49
 
0.3%
57
 
0.3%
25
 
0.2%
35
 
0.2%
11
 
< 0.1%
(Missing)2769
99.0%
ValueCountFrequency (%)
11
 
< 0.1%
25
0.2%
35
0.2%
49
0.3%
57
0.3%
ValueCountFrequency (%)
57
0.3%
49
0.3%
35
0.2%
25
0.2%
11
 
< 0.1%

SRPSAT24_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing2113
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean2.55636896
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:19.578219image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.197859647
Coefficient of variation (CV)0.4685785447
Kurtosis-0.9557825935
Mean2.55636896
Median Absolute Deviation (MAD)1
Skewness0.1873921528
Sum1746
Variance1.434867735
MonotonicityNot monotonic
2022-09-20T22:40:19.708270image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3206
 
7.4%
1176
 
6.3%
2144
 
5.2%
4121
 
4.3%
536
 
1.3%
(Missing)2113
75.6%
ValueCountFrequency (%)
1176
6.3%
2144
5.2%
3206
7.4%
4121
4.3%
536
 
1.3%
ValueCountFrequency (%)
536
 
1.3%
4121
4.3%
3206
7.4%
2144
5.2%
1176
6.3%

SRPSAT24_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)16.7%
Missing2766
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean4.066666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:19.859366image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13.25
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.112106834
Coefficient of variation (CV)0.2734688935
Kurtosis0.6012956861
Mean4.066666667
Median Absolute Deviation (MAD)1
Skewness-1.106204638
Sum122
Variance1.236781609
MonotonicityNot monotonic
2022-09-20T22:40:19.986378image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
514
 
0.5%
48
 
0.3%
35
 
0.2%
22
 
0.1%
11
 
< 0.1%
(Missing)2766
98.9%
ValueCountFrequency (%)
11
 
< 0.1%
22
 
0.1%
35
 
0.2%
48
0.3%
514
0.5%
ValueCountFrequency (%)
514
0.5%
48
0.3%
35
 
0.2%
22
 
0.1%
11
 
< 0.1%

SRPSAT25_Bank
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)3.7%
Missing2689
Missing (%)96.2%
Infinite0
Infinite (%)0.0%
Mean2.457943925
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:20.110283image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.771261004
Coefficient of variation (CV)0.7206271005
Kurtosis-1.574619221
Mean2.457943925
Median Absolute Deviation (MAD)0
Skewness0.522179675
Sum263
Variance3.137365544
MonotonicityNot monotonic
2022-09-20T22:40:20.224990image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
161
 
2.2%
528
 
1.0%
310
 
0.4%
48
 
0.3%
(Missing)2689
96.2%
ValueCountFrequency (%)
161
2.2%
310
 
0.4%
48
 
0.3%
528
1.0%
ValueCountFrequency (%)
528
1.0%
48
 
0.3%
310
 
0.4%
161
2.2%

SRPSAT25_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.8%
Missing2193
Missing (%)78.4%
Infinite0
Infinite (%)0.0%
Mean2.464344942
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:20.332421image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.048637319
Coefficient of variation (CV)0.4255237572
Kurtosis-0.7015216627
Mean2.464344942
Median Absolute Deviation (MAD)1
Skewness0.1900067447
Sum1486
Variance1.099640226
MonotonicityNot monotonic
2022-09-20T22:40:20.446810image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3203
 
7.3%
2172
 
6.2%
1131
 
4.7%
483
 
3.0%
514
 
0.5%
(Missing)2193
78.4%
ValueCountFrequency (%)
1131
4.7%
2172
6.2%
3203
7.3%
483
3.0%
514
 
0.5%
ValueCountFrequency (%)
514
 
0.5%
483
3.0%
3203
7.3%
2172
6.2%
1131
4.7%

SRPSAT33_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing2093
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean2.389758179
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:20.557037image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.167707874
Coefficient of variation (CV)0.4886301402
Kurtosis-0.7636401029
Mean2.389758179
Median Absolute Deviation (MAD)1
Skewness0.3940033671
Sum1680
Variance1.363541679
MonotonicityNot monotonic
2022-09-20T22:40:20.667614image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1206
 
7.4%
3198
 
7.1%
2174
 
6.2%
493
 
3.3%
532
 
1.1%
(Missing)2093
74.9%
ValueCountFrequency (%)
1206
7.4%
2174
6.2%
3198
7.1%
493
3.3%
532
 
1.1%
ValueCountFrequency (%)
532
 
1.1%
493
3.3%
3198
7.1%
2174
6.2%
1206
7.4%

SRPSAT33_SF
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)33.3%
Missing2784
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean2.833333333
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:20.774351image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33
95-th percentile4.45
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9374368666
Coefficient of variation (CV)0.3308600706
Kurtosis1.33412604
Mean2.833333333
Median Absolute Deviation (MAD)1
Skewness1.177090762
Sum34
Variance0.8787878788
MonotonicityNot monotonic
2022-09-20T22:40:20.860814image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
25
 
0.2%
35
 
0.2%
51
 
< 0.1%
41
 
< 0.1%
(Missing)2784
99.6%
ValueCountFrequency (%)
25
0.2%
35
0.2%
41
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
41
 
< 0.1%
35
0.2%
25
0.2%

SRPSAT34_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)3.9%
Missing2667
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean1.821705426
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:21.234643image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.465486334
Coefficient of variation (CV)0.8044584554
Kurtosis0.4512915437
Mean1.821705426
Median Absolute Deviation (MAD)0
Skewness1.464316901
Sum235
Variance2.147650194
MonotonicityNot monotonic
2022-09-20T22:40:21.324368image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
193
 
3.3%
518
 
0.6%
38
 
0.3%
26
 
0.2%
44
 
0.1%
(Missing)2667
95.4%
ValueCountFrequency (%)
193
3.3%
26
 
0.2%
38
 
0.3%
44
 
0.1%
518
 
0.6%
ValueCountFrequency (%)
518
 
0.6%
44
 
0.1%
38
 
0.3%
26
 
0.2%
193
3.3%

SRPSAT35_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)7.6%
Missing2730
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean2.560606061
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:21.417700image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.75524522
Coefficient of variation (CV)0.6854803816
Kurtosis-1.62338526
Mean2.560606061
Median Absolute Deviation (MAD)0.5
Skewness0.4417632827
Sum169
Variance3.080885781
MonotonicityNot monotonic
2022-09-20T22:40:21.505110image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
133
 
1.2%
518
 
0.6%
36
 
0.2%
45
 
0.2%
24
 
0.1%
(Missing)2730
97.6%
ValueCountFrequency (%)
133
1.2%
24
 
0.1%
36
 
0.2%
45
 
0.2%
518
0.6%
ValueCountFrequency (%)
518
0.6%
45
 
0.2%
36
 
0.2%
24
 
0.1%
133
1.2%

SRPSAT36_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)3.9%
Missing2667
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean1.837209302
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:21.600308image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.440435577
Coefficient of variation (CV)0.7840345545
Kurtosis0.4791824159
Mean1.837209302
Median Absolute Deviation (MAD)0
Skewness1.453073093
Sum237
Variance2.074854651
MonotonicityNot monotonic
2022-09-20T22:40:21.688223image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
189
 
3.2%
517
 
0.6%
211
 
0.4%
37
 
0.3%
45
 
0.2%
(Missing)2667
95.4%
ValueCountFrequency (%)
189
3.2%
211
 
0.4%
37
 
0.3%
45
 
0.2%
517
 
0.6%
ValueCountFrequency (%)
517
 
0.6%
45
 
0.2%
37
 
0.3%
211
 
0.4%
189
3.2%

SRPSAT37_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)5.6%
Missing2706
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean2.266666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:21.782958image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.681358466
Coefficient of variation (CV)0.7417757939
Kurtosis-1.250426602
Mean2.266666667
Median Absolute Deviation (MAD)0
Skewness0.7567487685
Sum204
Variance2.826966292
MonotonicityNot monotonic
2022-09-20T22:40:21.871803image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
153
 
1.9%
518
 
0.6%
410
 
0.4%
26
 
0.2%
33
 
0.1%
(Missing)2706
96.8%
ValueCountFrequency (%)
153
1.9%
26
 
0.2%
33
 
0.1%
410
 
0.4%
518
 
0.6%
ValueCountFrequency (%)
518
 
0.6%
410
 
0.4%
33
 
0.1%
26
 
0.2%
153
1.9%

SRPSAT38_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)4.6%
Missing2687
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean2.614678899
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:21.967543image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.632472885
Coefficient of variation (CV)0.6243492788
Kurtosis-1.51478437
Mean2.614678899
Median Absolute Deviation (MAD)1
Skewness0.3576103644
Sum285
Variance2.66496772
MonotonicityNot monotonic
2022-09-20T22:40:22.053626image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
146
 
1.6%
524
 
0.9%
315
 
0.5%
413
 
0.5%
211
 
0.4%
(Missing)2687
96.1%
ValueCountFrequency (%)
146
1.6%
211
 
0.4%
315
 
0.5%
413
 
0.5%
524
0.9%
ValueCountFrequency (%)
524
0.9%
413
 
0.5%
315
 
0.5%
211
 
0.4%
146
1.6%

SRPSAT39_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)6.2%
Missing2716
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:22.148658image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.702566938
Coefficient of variation (CV)0.6191152501
Kurtosis-1.663002774
Mean2.75
Median Absolute Deviation (MAD)2
Skewness0.2288626694
Sum220
Variance2.898734177
MonotonicityNot monotonic
2022-09-20T22:40:22.241658image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
133
 
1.2%
522
 
0.8%
311
 
0.4%
48
 
0.3%
26
 
0.2%
(Missing)2716
97.1%
ValueCountFrequency (%)
133
1.2%
26
 
0.2%
311
 
0.4%
48
 
0.3%
522
0.8%
ValueCountFrequency (%)
522
0.8%
48
 
0.3%
311
 
0.4%
26
 
0.2%
133
1.2%

SRPSAT39_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.8%
Missing2165
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean2.573692552
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:22.342144image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.102898991
Coefficient of variation (CV)0.4285278716
Kurtosis-0.678265568
Mean2.573692552
Median Absolute Deviation (MAD)1
Skewness0.2397102888
Sum1624
Variance1.216386185
MonotonicityNot monotonic
2022-09-20T22:40:22.445347image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3197
 
7.0%
2184
 
6.6%
1121
 
4.3%
4101
 
3.6%
528
 
1.0%
(Missing)2165
77.4%
ValueCountFrequency (%)
1121
4.3%
2184
6.6%
3197
7.0%
4101
3.6%
528
 
1.0%
ValueCountFrequency (%)
528
 
1.0%
4101
3.6%
3197
7.0%
2184
6.6%
1121
4.3%

SRPSAT47_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.8%
Missing2203
Missing (%)78.8%
Infinite0
Infinite (%)0.0%
Mean2.797639123
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:22.568645image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.0809442
Coefficient of variation (CV)0.3863772817
Kurtosis-0.5789451066
Mean2.797639123
Median Absolute Deviation (MAD)1
Skewness0.1594813671
Sum1659
Variance1.168440363
MonotonicityNot monotonic
2022-09-20T22:40:22.671657image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3204
 
7.3%
2169
 
6.0%
4111
 
4.0%
170
 
2.5%
539
 
1.4%
(Missing)2203
78.8%
ValueCountFrequency (%)
170
 
2.5%
2169
6.0%
3204
7.3%
4111
4.0%
539
 
1.4%
ValueCountFrequency (%)
539
 
1.4%
4111
4.0%
3204
7.3%
2169
6.0%
170
 
2.5%

SRPSAT48_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)4.4%
Missing2683
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean2.699115044
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:22.788630image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.322098952
Coefficient of variation (CV)0.4898268248
Kurtosis-0.8163509392
Mean2.699115044
Median Absolute Deviation (MAD)1
Skewness0.4318284826
Sum305
Variance1.747945638
MonotonicityNot monotonic
2022-09-20T22:40:22.883332image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
333
 
1.2%
230
 
1.1%
124
 
0.9%
518
 
0.6%
48
 
0.3%
(Missing)2683
96.0%
ValueCountFrequency (%)
124
0.9%
230
1.1%
333
1.2%
48
 
0.3%
518
0.6%
ValueCountFrequency (%)
518
0.6%
48
 
0.3%
333
1.2%
230
1.1%
124
0.9%

SRPSAT48_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.8%
Missing2198
Missing (%)78.6%
Infinite0
Infinite (%)0.0%
Mean3.431438127
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:22.988415image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.08491172
Coefficient of variation (CV)0.3161682302
Kurtosis-0.6449399339
Mean3.431438127
Median Absolute Deviation (MAD)1
Skewness-0.3205085477
Sum2052
Variance1.177033439
MonotonicityNot monotonic
2022-09-20T22:40:23.092932image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4208
 
7.4%
3162
 
5.8%
2102
 
3.6%
5101
 
3.6%
125
 
0.9%
(Missing)2198
78.6%
ValueCountFrequency (%)
125
 
0.9%
2102
3.6%
3162
5.8%
4208
7.4%
5101
3.6%
ValueCountFrequency (%)
5101
3.6%
4208
7.4%
3162
5.8%
2102
3.6%
125
 
0.9%

SRPSAT49_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing2093
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean2.751066856
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:23.204175image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.248039317
Coefficient of variation (CV)0.4536564839
Kurtosis-0.9346197161
Mean2.751066856
Median Absolute Deviation (MAD)1
Skewness0.1311186341
Sum1934
Variance1.557602137
MonotonicityNot monotonic
2022-09-20T22:40:23.299179image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3217
 
7.8%
1148
 
5.3%
2143
 
5.1%
4126
 
4.5%
569
 
2.5%
(Missing)2093
74.9%
ValueCountFrequency (%)
1148
5.3%
2143
5.1%
3217
7.8%
4126
4.5%
569
 
2.5%
ValueCountFrequency (%)
569
 
2.5%
4126
4.5%
3217
7.8%
2143
5.1%
1148
5.3%

SRPSAT49_SF
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)27.3%
Missing2785
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean3.454545455
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:23.394628image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.934198733
Coefficient of variation (CV)0.270425949
Kurtosis4.750434028
Mean3.454545455
Median Absolute Deviation (MAD)0
Skewness-2.088837011
Sum38
Variance0.8727272727
MonotonicityNot monotonic
2022-09-20T22:40:23.483043image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
47
 
0.3%
33
 
0.1%
11
 
< 0.1%
(Missing)2785
99.6%
ValueCountFrequency (%)
11
 
< 0.1%
33
0.1%
47
0.3%
ValueCountFrequency (%)
47
0.3%
33
0.1%
11
 
< 0.1%

SRPSAT50_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)3.2%
Missing2641
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean1.941935484
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:23.880924image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.392179967
Coefficient of variation (CV)0.7169033053
Kurtosis0.278637006
Mean1.941935484
Median Absolute Deviation (MAD)0
Skewness1.304385636
Sum301
Variance1.938165061
MonotonicityNot monotonic
2022-09-20T22:40:23.972082image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
191
 
3.3%
226
 
0.9%
519
 
0.7%
313
 
0.5%
46
 
0.2%
(Missing)2641
94.5%
ValueCountFrequency (%)
191
3.3%
226
 
0.9%
313
 
0.5%
46
 
0.2%
519
 
0.7%
ValueCountFrequency (%)
519
 
0.7%
46
 
0.2%
313
 
0.5%
226
 
0.9%
191
3.3%

SRPSAT50_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.9%
Missing2240
Missing (%)80.1%
Infinite0
Infinite (%)0.0%
Mean2.863309353
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:24.066569image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.130742808
Coefficient of variation (CV)0.3949076642
Kurtosis-0.6277012828
Mean2.863309353
Median Absolute Deviation (MAD)1
Skewness0.09057112532
Sum1592
Variance1.278579299
MonotonicityNot monotonic
2022-09-20T22:40:24.157367image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3202
 
7.2%
2130
 
4.6%
4102
 
3.6%
173
 
2.6%
549
 
1.8%
(Missing)2240
80.1%
ValueCountFrequency (%)
173
 
2.6%
2130
4.6%
3202
7.2%
4102
3.6%
549
 
1.8%
ValueCountFrequency (%)
549
 
1.8%
4102
3.6%
3202
7.2%
2130
4.6%
173
 
2.6%

SRPSAT51_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)7.6%
Missing2730
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean2.318181818
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:24.256285image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.599606595
Coefficient of variation (CV)0.6900263743
Kurtosis-1.055998259
Mean2.318181818
Median Absolute Deviation (MAD)1
Skewness0.7834496706
Sum153
Variance2.558741259
MonotonicityNot monotonic
2022-09-20T22:40:24.352279image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
132
 
1.1%
513
 
0.5%
212
 
0.4%
45
 
0.2%
34
 
0.1%
(Missing)2730
97.6%
ValueCountFrequency (%)
132
1.1%
212
 
0.4%
34
 
0.1%
45
 
0.2%
513
0.5%
ValueCountFrequency (%)
513
0.5%
45
 
0.2%
34
 
0.1%
212
 
0.4%
132
1.1%

SRPSAT51_SF
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.8%
Missing2151
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean2.745736434
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:24.453080image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.184986814
Coefficient of variation (CV)0.4315734022
Kurtosis-0.7982580589
Mean2.745736434
Median Absolute Deviation (MAD)1
Skewness0.1426568091
Sum1771
Variance1.40419375
MonotonicityNot monotonic
2022-09-20T22:40:24.563099image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3209
 
7.5%
2151
 
5.4%
1117
 
4.2%
4115
 
4.1%
553
 
1.9%
(Missing)2151
76.9%
ValueCountFrequency (%)
1117
4.2%
2151
5.4%
3209
7.5%
4115
4.1%
553
 
1.9%
ValueCountFrequency (%)
553
 
1.9%
4115
4.1%
3209
7.5%
2151
5.4%
1117
4.2%

SRPSAT52_Bank
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.8%
Missing2189
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean2.571663921
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:24.678024image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.115915924
Coefficient of variation (CV)0.4339275885
Kurtosis-0.5462143175
Mean2.571663921
Median Absolute Deviation (MAD)1
Skewness0.3019208462
Sum1561
Variance1.245268349
MonotonicityNot monotonic
2022-09-20T22:40:24.778130image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3203
 
7.3%
2171
 
6.1%
1119
 
4.3%
479
 
2.8%
535
 
1.3%
(Missing)2189
78.3%
ValueCountFrequency (%)
1119
4.3%
2171
6.1%
3203
7.3%
479
 
2.8%
535
 
1.3%
ValueCountFrequency (%)
535
 
1.3%
479
 
2.8%
3203
7.3%
2171
6.1%
1119
4.3%

exact1
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1577
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean1.952420016
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:24.886056image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9120792936
Coefficient of variation (CV)0.467153218
Kurtosis-0.3779031937
Mean1.952420016
Median Absolute Deviation (MAD)1
Skewness0.6337917563
Sum2380
Variance0.8318886379
MonotonicityNot monotonic
2022-09-20T22:40:24.983163image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1458
 
16.4%
2436
 
15.6%
3254
 
9.1%
467
 
2.4%
54
 
0.1%
(Missing)1577
56.4%
ValueCountFrequency (%)
1458
16.4%
2436
15.6%
3254
9.1%
467
 
2.4%
54
 
0.1%
ValueCountFrequency (%)
54
 
0.1%
467
 
2.4%
3254
9.1%
2436
15.6%
1458
16.4%

exact2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1578
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean2.532019704
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:25.087663image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9187408909
Coefficient of variation (CV)0.3628490289
Kurtosis-0.6297317654
Mean2.532019704
Median Absolute Deviation (MAD)1
Skewness-0.03074290703
Sum3084
Variance0.8440848246
MonotonicityNot monotonic
2022-09-20T22:40:25.179030image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3479
 
17.1%
2391
 
14.0%
1178
 
6.4%
4163
 
5.8%
57
 
0.3%
(Missing)1578
56.4%
ValueCountFrequency (%)
1178
 
6.4%
2391
14.0%
3479
17.1%
4163
 
5.8%
57
 
0.3%
ValueCountFrequency (%)
57
 
0.3%
4163
 
5.8%
3479
17.1%
2391
14.0%
1178
 
6.4%

exact3
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1579
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.170912079
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:25.289131image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8431468544
Coefficient of variation (CV)0.3883836949
Kurtosis-0.7398857317
Mean2.170912079
Median Absolute Deviation (MAD)1
Skewness0.1383737383
Sum2642
Variance0.7108966181
MonotonicityNot monotonic
2022-09-20T22:40:25.402792image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2484
 
17.3%
3389
 
13.9%
1290
 
10.4%
453
 
1.9%
51
 
< 0.1%
(Missing)1579
56.5%
ValueCountFrequency (%)
1290
10.4%
2484
17.3%
3389
13.9%
453
 
1.9%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
453
 
1.9%
3389
13.9%
2484
17.3%
1290
10.4%

exact4
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1579
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.125718981
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:25.522678image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.092650762
Coefficient of variation (CV)0.51401468
Kurtosis-0.5486595287
Mean2.125718981
Median Absolute Deviation (MAD)1
Skewness0.6283136746
Sum2587
Variance1.193885687
MonotonicityNot monotonic
2022-09-20T22:40:25.612096image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1453
 
16.2%
2338
 
12.1%
3272
 
9.7%
4128
 
4.6%
526
 
0.9%
(Missing)1579
56.5%
ValueCountFrequency (%)
1453
16.2%
2338
12.1%
3272
9.7%
4128
 
4.6%
526
 
0.9%
ValueCountFrequency (%)
526
 
0.9%
4128
 
4.6%
3272
9.7%
2338
12.1%
1453
16.2%

exact5
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1579
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean1.805258833
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:25.714540image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8768056292
Coefficient of variation (CV)0.4856952439
Kurtosis0.0242511237
Mean1.805258833
Median Absolute Deviation (MAD)1
Skewness0.8433589928
Sum2197
Variance0.7687881114
MonotonicityNot monotonic
2022-09-20T22:40:25.811432image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1552
 
19.7%
2402
 
14.4%
3216
 
7.7%
442
 
1.5%
55
 
0.2%
(Missing)1579
56.5%
ValueCountFrequency (%)
1552
19.7%
2402
14.4%
3216
 
7.7%
442
 
1.5%
55
 
0.2%
ValueCountFrequency (%)
55
 
0.2%
442
 
1.5%
3216
 
7.7%
2402
14.4%
1552
19.7%

exact6
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1579
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean1.855382087
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:25.925588image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8859963389
Coefficient of variation (CV)0.4775276991
Kurtosis-0.3990188642
Mean1.855382087
Median Absolute Deviation (MAD)1
Skewness0.6985550251
Sum2258
Variance0.7849895126
MonotonicityNot monotonic
2022-09-20T22:40:26.024433image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1522
 
18.7%
2403
 
14.4%
3240
 
8.6%
450
 
1.8%
52
 
0.1%
(Missing)1579
56.5%
ValueCountFrequency (%)
1522
18.7%
2403
14.4%
3240
8.6%
450
 
1.8%
52
 
0.1%
ValueCountFrequency (%)
52
 
0.1%
450
 
1.8%
3240
8.6%
2403
14.4%
1522
18.7%

exact7
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1579
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.269515201
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:26.130042image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9066634783
Coefficient of variation (CV)0.3994965435
Kurtosis-0.5784868673
Mean2.269515201
Median Absolute Deviation (MAD)1
Skewness0.2254098485
Sum2762
Variance0.8220386628
MonotonicityNot monotonic
2022-09-20T22:40:26.223905image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2459
 
16.4%
3390
 
13.9%
1268
 
9.6%
494
 
3.4%
56
 
0.2%
(Missing)1579
56.5%
ValueCountFrequency (%)
1268
9.6%
2459
16.4%
3390
13.9%
494
 
3.4%
56
 
0.2%
ValueCountFrequency (%)
56
 
0.2%
494
 
3.4%
3390
13.9%
2459
16.4%
1268
9.6%

exact8
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1579
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.442892358
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:26.632232image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.042785766
Coefficient of variation (CV)0.4268652126
Kurtosis-0.5646590009
Mean2.442892358
Median Absolute Deviation (MAD)1
Skewness0.3111956088
Sum2973
Variance1.087402154
MonotonicityNot monotonic
2022-09-20T22:40:26.726302image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2400
 
14.3%
3372
 
13.3%
1252
 
9.0%
4160
 
5.7%
533
 
1.2%
(Missing)1579
56.5%
ValueCountFrequency (%)
1252
9.0%
2400
14.3%
3372
13.3%
4160
 
5.7%
533
 
1.2%
ValueCountFrequency (%)
533
 
1.2%
4160
 
5.7%
3372
13.3%
2400
14.3%
1252
9.0%

exact9
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)0.5%
Missing1579
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.020542317
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:26.821342image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9650497848
Coefficient of variation (CV)0.47761919
Kurtosis0.6503915071
Mean2.020542317
Median Absolute Deviation (MAD)1
Skewness0.8387770144
Sum2459
Variance0.9313210872
MonotonicityNot monotonic
2022-09-20T22:40:26.907221image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2445
 
15.9%
1425
 
15.2%
3265
 
9.5%
466
 
2.4%
511
 
0.4%
65
 
0.2%
(Missing)1579
56.5%
ValueCountFrequency (%)
1425
15.2%
2445
15.9%
3265
9.5%
466
 
2.4%
511
 
0.4%
ValueCountFrequency (%)
65
 
0.2%
511
 
0.4%
466
 
2.4%
3265
9.5%
2445
15.9%

exact10
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)0.5%
Missing1580
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.283717105
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:26.994047image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.231653042
Coefficient of variation (CV)0.5393194453
Kurtosis1.396939476
Mean2.283717105
Median Absolute Deviation (MAD)1
Skewness1.160659111
Sum2777
Variance1.516969217
MonotonicityNot monotonic
2022-09-20T22:40:27.090719image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2394
 
14.1%
1369
 
13.2%
3310
 
11.1%
475
 
2.7%
650
 
1.8%
518
 
0.6%
(Missing)1580
56.5%
ValueCountFrequency (%)
1369
13.2%
2394
14.1%
3310
11.1%
475
 
2.7%
518
 
0.6%
ValueCountFrequency (%)
650
 
1.8%
518
 
0.6%
475
 
2.7%
3310
11.1%
2394
14.1%

exact11
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)0.5%
Missing1580
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.536184211
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:27.194693image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.491928322
Coefficient of variation (CV)0.5882570817
Kurtosis0.1861826261
Mean2.536184211
Median Absolute Deviation (MAD)1
Skewness0.9643074606
Sum3084
Variance2.225850119
MonotonicityNot monotonic
2022-09-20T22:40:27.291511image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1367
 
13.1%
2310
 
11.1%
3306
 
10.9%
6107
 
3.8%
493
 
3.3%
533
 
1.2%
(Missing)1580
56.5%
ValueCountFrequency (%)
1367
13.1%
2310
11.1%
3306
10.9%
493
 
3.3%
533
 
1.2%
ValueCountFrequency (%)
6107
 
3.8%
533
 
1.2%
493
 
3.3%
3306
10.9%
2310
11.1%

exact12
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1580
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:27.397877image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9728833731
Coefficient of variation (CV)0.4323926103
Kurtosis-0.4042826404
Mean2.25
Median Absolute Deviation (MAD)1
Skewness0.4391321948
Sum2736
Variance0.9465020576
MonotonicityNot monotonic
2022-09-20T22:40:27.494954image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2460
 
16.5%
3327
 
11.7%
1299
 
10.7%
4114
 
4.1%
516
 
0.6%
(Missing)1580
56.5%
ValueCountFrequency (%)
1299
10.7%
2460
16.5%
3327
11.7%
4114
 
4.1%
516
 
0.6%
ValueCountFrequency (%)
516
 
0.6%
4114
 
4.1%
3327
11.7%
2460
16.5%
1299
10.7%

exact13
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1580
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.024671053
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:27.602241image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9632164346
Coefficient of variation (CV)0.4757397175
Kurtosis-0.03204439074
Mean2.024671053
Median Absolute Deviation (MAD)1
Skewness0.7421980745
Sum2462
Variance0.9277858999
MonotonicityNot monotonic
2022-09-20T22:40:27.707200image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2461
 
16.5%
1420
 
15.0%
3234
 
8.4%
487
 
3.1%
514
 
0.5%
(Missing)1580
56.5%
ValueCountFrequency (%)
1420
15.0%
2461
16.5%
3234
8.4%
487
 
3.1%
514
 
0.5%
ValueCountFrequency (%)
514
 
0.5%
487
 
3.1%
3234
8.4%
2461
16.5%
1420
15.0%

exact14
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.4%
Missing1580
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean1.886513158
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:27.848466image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9980799739
Coefficient of variation (CV)0.5290607011
Kurtosis0.09434071156
Mean1.886513158
Median Absolute Deviation (MAD)1
Skewness0.9152771471
Sum2294
Variance0.9961636344
MonotonicityNot monotonic
2022-09-20T22:40:27.939148image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1562
 
20.1%
2332
 
11.9%
3238
 
8.5%
466
 
2.4%
518
 
0.6%
(Missing)1580
56.5%
ValueCountFrequency (%)
1562
20.1%
2332
11.9%
3238
8.5%
466
 
2.4%
518
 
0.6%
ValueCountFrequency (%)
518
 
0.6%
466
 
2.4%
3238
8.5%
2332
11.9%
1562
20.1%

facit_06
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)1.5%
Missing2469
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.152905199
Minimum0
Maximum4
Zeros109
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:28.038717image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.05719089
Coefficient of variation (CV)0.9169798962
Kurtosis-0.4759452275
Mean1.152905199
Median Absolute Deviation (MAD)1
Skewness0.5999839138
Sum377
Variance1.117652577
MonotonicityNot monotonic
2022-09-20T22:40:28.130604image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0109
 
3.9%
1105
 
3.8%
273
 
2.6%
334
 
1.2%
46
 
0.2%
(Missing)2469
88.3%
ValueCountFrequency (%)
0109
3.9%
1105
3.8%
273
2.6%
334
 
1.2%
46
 
0.2%
ValueCountFrequency (%)
46
 
0.2%
334
 
1.2%
273
2.6%
1105
3.8%
0109
3.9%

facit_10
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)1.5%
Missing2464
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.59939759
Minimum0
Maximum4
Zeros73
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:28.240242image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.298057903
Coefficient of variation (CV)0.8115917584
Kurtosis-0.7672829125
Mean1.59939759
Median Absolute Deviation (MAD)1
Skewness0.5344920113
Sum531
Variance1.684954319
MonotonicityNot monotonic
2022-09-20T22:40:28.342230image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1109
 
3.9%
073
 
2.6%
272
 
2.6%
444
 
1.6%
334
 
1.2%
(Missing)2464
88.1%
ValueCountFrequency (%)
073
2.6%
1109
3.9%
272
2.6%
334
 
1.2%
444
1.6%
ValueCountFrequency (%)
444
1.6%
334
 
1.2%
272
2.6%
1109
3.9%
073
2.6%

facit_15
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2468
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean2.801829268
Minimum0
Maximum4
Zeros11
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:28.442712image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.209188702
Coefficient of variation (CV)0.431571158
Kurtosis-0.8654735204
Mean2.801829268
Median Absolute Deviation (MAD)1
Skewness-0.5746495729
Sum919
Variance1.462137316
MonotonicityNot monotonic
2022-09-20T22:40:28.536654image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4132
 
4.7%
369
 
2.5%
268
 
2.4%
148
 
1.7%
011
 
0.4%
(Missing)2468
88.3%
ValueCountFrequency (%)
011
 
0.4%
148
 
1.7%
268
2.4%
369
2.5%
4132
4.7%
ValueCountFrequency (%)
4132
4.7%
369
2.5%
268
2.4%
148
 
1.7%
011
 
0.4%

facit_19
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)1.5%
Missing2464
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.210843373
Minimum0
Maximum4
Zeros130
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:28.663979image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.327425061
Coefficient of variation (CV)1.096281394
Kurtosis-0.1589374595
Mean1.210843373
Median Absolute Deviation (MAD)1
Skewness0.9719651312
Sum402
Variance1.762057293
MonotonicityNot monotonic
2022-09-20T22:40:28.794003image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0130
 
4.6%
195
 
3.4%
255
 
2.0%
441
 
1.5%
311
 
0.4%
(Missing)2464
88.1%
ValueCountFrequency (%)
0130
4.6%
195
3.4%
255
2.0%
311
 
0.4%
441
 
1.5%
ValueCountFrequency (%)
441
 
1.5%
311
 
0.4%
255
2.0%
195
3.4%
0130
4.6%

facit_20
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)1.5%
Missing2466
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.157575758
Minimum0
Maximum4
Zeros144
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:28.929992image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.385778901
Coefficient of variation (CV)1.197138841
Kurtosis-0.1056005313
Mean1.157575758
Median Absolute Deviation (MAD)1
Skewness1.080207666
Sum382
Variance1.920383163
MonotonicityNot monotonic
2022-09-20T22:40:29.087095image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0144
 
5.2%
192
 
3.3%
448
 
1.7%
240
 
1.4%
36
 
0.2%
(Missing)2466
88.2%
ValueCountFrequency (%)
0144
5.2%
192
3.3%
240
 
1.4%
36
 
0.2%
448
 
1.7%
ValueCountFrequency (%)
448
 
1.7%
36
 
0.2%
240
 
1.4%
192
3.3%
0144
5.2%

facit_21
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)1.5%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean2.072507553
Minimum0
Maximum4
Zeros60
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:29.528395image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.465005759
Coefficient of variation (CV)0.7068759568
Kurtosis-1.377484072
Mean2.072507553
Median Absolute Deviation (MAD)1
Skewness0.04248014129
Sum686
Variance2.146241875
MonotonicityNot monotonic
2022-09-20T22:40:29.608865image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
489
 
3.2%
174
 
2.6%
268
 
2.4%
060
 
2.1%
340
 
1.4%
(Missing)2465
88.2%
ValueCountFrequency (%)
060
2.1%
174
2.6%
268
2.4%
340
1.4%
489
3.2%
ValueCountFrequency (%)
489
3.2%
340
1.4%
268
2.4%
174
2.6%
060
2.1%

facit_23
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)1.5%
Missing2463
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.66966967
Minimum0
Maximum4
Zeros78
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:29.698054image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.374973892
Coefficient of variation (CV)0.8235005505
Kurtosis-0.9550745833
Mean1.66966967
Median Absolute Deviation (MAD)1
Skewness0.4709655031
Sum556
Variance1.890553204
MonotonicityNot monotonic
2022-09-20T22:40:29.781225image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
195
 
3.4%
078
 
2.8%
277
 
2.8%
458
 
2.1%
325
 
0.9%
(Missing)2463
88.1%
ValueCountFrequency (%)
078
2.8%
195
3.4%
277
2.8%
325
 
0.9%
458
2.1%
ValueCountFrequency (%)
458
2.1%
325
 
0.9%
277
2.8%
195
3.4%
078
2.8%

facit_26
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)1.5%
Missing2463
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.927927928
Minimum0
Maximum4
Zeros56
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:29.876482image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.366851838
Coefficient of variation (CV)0.7089745514
Kurtosis-1.144141695
Mean1.927927928
Median Absolute Deviation (MAD)1
Skewness0.2162473341
Sum642
Variance1.868283947
MonotonicityNot monotonic
2022-09-20T22:40:29.967159image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
187
 
3.1%
283
 
3.0%
468
 
2.4%
056
 
2.0%
339
 
1.4%
(Missing)2463
88.1%
ValueCountFrequency (%)
056
2.0%
187
3.1%
283
3.0%
339
1.4%
468
2.4%
ValueCountFrequency (%)
468
2.4%
339
1.4%
283
3.0%
187
3.1%
056
2.0%

facit_30
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)1.5%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.866261398
Minimum0
Maximum4
Zeros58
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:30.073964image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.379416965
Coefficient of variation (CV)0.739133846
Kurtosis-1.138633198
Mean1.866261398
Median Absolute Deviation (MAD)1
Skewness0.3052442306
Sum614
Variance1.902791163
MonotonicityNot monotonic
2022-09-20T22:40:30.169757image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
196
 
3.4%
274
 
2.6%
467
 
2.4%
058
 
2.1%
334
 
1.2%
(Missing)2467
88.2%
ValueCountFrequency (%)
058
2.1%
196
3.4%
274
2.6%
334
 
1.2%
467
2.4%
ValueCountFrequency (%)
467
2.4%
334
 
1.2%
274
2.6%
196
3.4%
058
2.1%

facit_45
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2463
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean2.987987988
Minimum0
Maximum4
Zeros13
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:30.269017image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.234484371
Coefficient of variation (CV)0.4131490408
Kurtosis-0.5392916094
Mean2.987987988
Median Absolute Deviation (MAD)0
Skewness-0.8565302103
Sum995
Variance1.523951663
MonotonicityNot monotonic
2022-09-20T22:40:30.364254image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4173
 
6.2%
260
 
2.1%
348
 
1.7%
139
 
1.4%
013
 
0.5%
(Missing)2463
88.1%
ValueCountFrequency (%)
013
 
0.5%
139
 
1.4%
260
 
2.1%
348
 
1.7%
4173
6.2%
ValueCountFrequency (%)
4173
6.2%
348
 
1.7%
260
 
2.1%
139
 
1.4%
013
 
0.5%

facit2_06
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.7234042553
Minimum0
Maximum3
Zeros176
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:30.475917image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8934548374
Coefficient of variation (CV)1.235069922
Kurtosis-0.3252580088
Mean0.7234042553
Median Absolute Deviation (MAD)0
Skewness0.9084515776
Sum238
Variance0.7982615464
MonotonicityNot monotonic
2022-09-20T22:40:30.561096image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0176
 
6.3%
181
 
2.9%
259
 
2.1%
313
 
0.5%
(Missing)2467
88.2%
ValueCountFrequency (%)
0176
6.3%
181
2.9%
259
 
2.1%
313
 
0.5%
ValueCountFrequency (%)
313
 
0.5%
259
 
2.1%
181
2.9%
0176
6.3%

facit2_10
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.4%
Missing2507
Missing (%)89.7%
Infinite0
Infinite (%)0.0%
Mean1.166089965
Minimum0
Maximum3
Zeros91
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:30.649316image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.006968225
Coefficient of variation (CV)0.8635424836
Kurtosis-0.9708957972
Mean1.166089965
Median Absolute Deviation (MAD)1
Skewness0.3806739163
Sum337
Variance1.013985006
MonotonicityNot monotonic
2022-09-20T22:40:30.731003image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
194
 
3.4%
091
 
3.3%
269
 
2.5%
335
 
1.3%
(Missing)2507
89.7%
ValueCountFrequency (%)
091
3.3%
194
3.4%
269
2.5%
335
 
1.3%
ValueCountFrequency (%)
335
 
1.3%
269
2.5%
194
3.4%
091
3.3%

facit2_15
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.9%
Missing2589
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean1.811594203
Minimum0
Maximum3
Zeros19
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:30.822299image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.004002122
Coefficient of variation (CV)0.5542091715
Kurtosis-1.210997442
Mean1.811594203
Median Absolute Deviation (MAD)1
Skewness-0.1658700567
Sum375
Variance1.008020262
MonotonicityNot monotonic
2022-09-20T22:40:30.908108image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
170
 
2.5%
369
 
2.5%
249
 
1.8%
019
 
0.7%
(Missing)2589
92.6%
ValueCountFrequency (%)
019
 
0.7%
170
2.5%
249
1.8%
369
2.5%
ValueCountFrequency (%)
369
2.5%
249
1.8%
170
2.5%
019
 
0.7%

facit2_19
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.4%
Missing2506
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean0.7068965517
Minimum0
Maximum3
Zeros151
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:30.997827image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8485407929
Coefficient of variation (CV)1.20037478
Kurtosis-0.3103945885
Mean0.7068965517
Median Absolute Deviation (MAD)0
Skewness0.8740975223
Sum205
Variance0.7200214772
MonotonicityNot monotonic
2022-09-20T22:40:31.082269image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0151
 
5.4%
181
 
2.9%
250
 
1.8%
38
 
0.3%
(Missing)2506
89.6%
ValueCountFrequency (%)
0151
5.4%
181
2.9%
250
 
1.8%
38
 
0.3%
ValueCountFrequency (%)
38
 
0.3%
250
 
1.8%
181
2.9%
0151
5.4%

facit2_20
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.4%
Missing2512
Missing (%)89.8%
Infinite0
Infinite (%)0.0%
Mean0.6971830986
Minimum0
Maximum3
Zeros146
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:31.191531image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8363595742
Coefficient of variation (CV)1.199626864
Kurtosis-0.01274316117
Mean0.6971830986
Median Absolute Deviation (MAD)0
Skewness0.9472193717
Sum198
Variance0.6994973374
MonotonicityNot monotonic
2022-09-20T22:40:31.293159image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0146
 
5.2%
187
 
3.1%
242
 
1.5%
39
 
0.3%
(Missing)2512
89.8%
ValueCountFrequency (%)
0146
5.2%
187
3.1%
242
 
1.5%
39
 
0.3%
ValueCountFrequency (%)
39
 
0.3%
242
 
1.5%
187
3.1%
0146
5.2%

facit2_21
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.6%
Missing2547
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean1.325301205
Minimum0
Maximum3
Zeros63
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:31.413913image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.025188028
Coefficient of variation (CV)0.7735509669
Kurtosis-1.080107595
Mean1.325301205
Median Absolute Deviation (MAD)1
Skewness0.2190317256
Sum330
Variance1.051010494
MonotonicityNot monotonic
2022-09-20T22:40:31.520215image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
182
 
2.9%
264
 
2.3%
063
 
2.3%
340
 
1.4%
(Missing)2547
91.1%
ValueCountFrequency (%)
063
2.3%
182
2.9%
264
2.3%
340
1.4%
ValueCountFrequency (%)
340
1.4%
264
2.3%
182
2.9%
063
2.3%

facit2_23
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.5%
Missing2522
Missing (%)90.2%
Infinite0
Infinite (%)0.0%
Mean1.080291971
Minimum0
Maximum3
Zeros84
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:31.627355image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9103265458
Coefficient of variation (CV)0.8426671403
Kurtosis-0.7371803664
Mean1.080291971
Median Absolute Deviation (MAD)1
Skewness0.3979783257
Sum296
Variance0.8286944199
MonotonicityNot monotonic
2022-09-20T22:40:31.732906image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1103
 
3.7%
084
 
3.0%
268
 
2.4%
319
 
0.7%
(Missing)2522
90.2%
ValueCountFrequency (%)
084
3.0%
1103
3.7%
268
2.4%
319
 
0.7%
ValueCountFrequency (%)
319
 
0.7%
268
2.4%
1103
3.7%
084
3.0%

facit2_26
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.5%
Missing2529
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean1.232209738
Minimum0
Maximum3
Zeros72
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:31.860751image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9569747843
Coefficient of variation (CV)0.7766330316
Kurtosis-0.977179559
Mean1.232209738
Median Absolute Deviation (MAD)1
Skewness0.1942983346
Sum329
Variance0.9158007378
MonotonicityNot monotonic
2022-09-20T22:40:32.317937image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
187
 
3.1%
282
 
2.9%
072
 
2.6%
326
 
0.9%
(Missing)2529
90.5%
ValueCountFrequency (%)
072
2.6%
187
3.1%
282
2.9%
326
 
0.9%
ValueCountFrequency (%)
326
 
0.9%
282
2.9%
187
3.1%
072
2.6%

facit2_30
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.5%
Missing2528
Missing (%)90.4%
Infinite0
Infinite (%)0.0%
Mean1.313432836
Minimum0
Maximum3
Zeros64
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:32.435526image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9592280795
Coefficient of variation (CV)0.7303213787
Kurtosis-0.9818134556
Mean1.313432836
Median Absolute Deviation (MAD)1
Skewness0.1057867397
Sum352
Variance0.9201185086
MonotonicityNot monotonic
2022-09-20T22:40:32.540784image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
288
 
3.1%
186
 
3.1%
064
 
2.3%
330
 
1.1%
(Missing)2528
90.4%
ValueCountFrequency (%)
064
2.3%
186
3.1%
288
3.1%
330
 
1.1%
ValueCountFrequency (%)
330
 
1.1%
288
3.1%
186
3.1%
064
2.3%

facit2_45
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)2.4%
Missing2629
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean1.74251497
Minimum0
Maximum3
Zeros22
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:32.654296image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.005790895
Coefficient of variation (CV)0.5772064584
Kurtosis-1.030166304
Mean1.74251497
Median Absolute Deviation (MAD)1
Skewness-0.2542711146
Sum291
Variance1.011615324
MonotonicityNot monotonic
2022-09-20T22:40:32.766648image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
254
 
1.9%
346
 
1.6%
145
 
1.6%
022
 
0.8%
(Missing)2629
94.0%
ValueCountFrequency (%)
022
0.8%
145
1.6%
254
1.9%
346
1.6%
ValueCountFrequency (%)
346
1.6%
254
1.9%
145
1.6%
022
0.8%

facit3_06
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)16.7%
Missing2784
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean0.5
Minimum0
Maximum1
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:32.884261image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5222329679
Coefficient of variation (CV)1.044465936
Kurtosis-2.444444444
Mean0.5
Median Absolute Deviation (MAD)0.5
Skewness0
Sum6
Variance0.2727272727
MonotonicityNot monotonic
2022-09-20T22:40:32.992571image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
06
 
0.2%
16
 
0.2%
(Missing)2784
99.6%
ValueCountFrequency (%)
06
0.2%
16
0.2%
ValueCountFrequency (%)
16
0.2%
06
0.2%

facit3_10
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)4.2%
Missing2748
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean0.4166666667
Minimum0
Maximum1
Zeros28
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:33.097256image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4982237955
Coefficient of variation (CV)1.195737109
Kurtosis-1.96173913
Mean0.4166666667
Median Absolute Deviation (MAD)0
Skewness0.3490661126
Sum20
Variance0.2482269504
MonotonicityNot monotonic
2022-09-20T22:40:33.197723image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
028
 
1.0%
120
 
0.7%
(Missing)2748
98.3%
ValueCountFrequency (%)
028
1.0%
120
0.7%
ValueCountFrequency (%)
120
0.7%
028
1.0%

facit3_15
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.5%
Missing2663
Missing (%)95.2%
Infinite0
Infinite (%)0.0%
Mean0.4812030075
Minimum0
Maximum1
Zeros69
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:33.301935image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5015355777
Coefficient of variation (CV)1.042253623
Kurtosis-2.024889262
Mean0.4812030075
Median Absolute Deviation (MAD)0
Skewness0.07610215631
Sum64
Variance0.2515379357
MonotonicityNot monotonic
2022-09-20T22:40:33.415089image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
069
 
2.5%
164
 
2.3%
(Missing)2663
95.2%
ValueCountFrequency (%)
069
2.5%
164
2.3%
ValueCountFrequency (%)
164
2.3%
069
2.5%

facit3_19
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)4.3%
Missing2750
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean0.6304347826
Minimum0
Maximum1
Zeros17
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:33.535330image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4880207487
Coefficient of variation (CV)0.7741018773
Kurtosis-1.766506996
Mean0.6304347826
Median Absolute Deviation (MAD)0
Skewness-0.5588436013
Sum29
Variance0.2381642512
MonotonicityNot monotonic
2022-09-20T22:40:33.634652image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
129
 
1.0%
017
 
0.6%
(Missing)2750
98.4%
ValueCountFrequency (%)
017
0.6%
129
1.0%
ValueCountFrequency (%)
129
1.0%
017
0.6%

facit3_20
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)3.8%
Missing2744
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean0.8269230769
Minimum0
Maximum1
Zeros9
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:33.721200image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3820047144
Coefficient of variation (CV)0.4619591895
Kurtosis1.213909192
Mean0.8269230769
Median Absolute Deviation (MAD)0
Skewness-1.780082743
Sum43
Variance0.1459276018
MonotonicityNot monotonic
2022-09-20T22:40:33.801685image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
143
 
1.5%
09
 
0.3%
(Missing)2744
98.1%
ValueCountFrequency (%)
09
 
0.3%
143
1.5%
ValueCountFrequency (%)
143
1.5%
09
 
0.3%

facit3_21
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)2.2%
Missing2704
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean0.5760869565
Minimum0
Maximum1
Zeros39
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:33.894382image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4968847049
Coefficient of variation (CV)0.8625168462
Kurtosis-1.944757732
Mean0.5760869565
Median Absolute Deviation (MAD)0
Skewness-0.3130616701
Sum53
Variance0.2468944099
MonotonicityNot monotonic
2022-09-20T22:40:33.983455image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
153
 
1.9%
039
 
1.4%
(Missing)2704
96.7%
ValueCountFrequency (%)
039
1.4%
153
1.9%
ValueCountFrequency (%)
153
1.9%
039
1.4%

facit3_23
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)3.2%
Missing2734
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean0.6290322581
Minimum0
Maximum1
Zeros23
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:34.076829image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4870072867
Coefficient of variation (CV)0.7742167122
Kurtosis-1.757972904
Mean0.6290322581
Median Absolute Deviation (MAD)0
Skewness-0.5475619646
Sum39
Variance0.2371760973
MonotonicityNot monotonic
2022-09-20T22:40:34.174669image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
139
 
1.4%
023
 
0.8%
(Missing)2734
97.8%
ValueCountFrequency (%)
023
0.8%
139
1.4%
ValueCountFrequency (%)
139
1.4%
023
0.8%

facit3_26
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)2.8%
Missing2725
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean0.5352112676
Minimum0
Maximum1
Zeros33
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:34.275721image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5023085539
Coefficient of variation (CV)0.938523877
Kurtosis-2.037408681
Mean0.5352112676
Median Absolute Deviation (MAD)0
Skewness-0.1442614655
Sum38
Variance0.2523138833
MonotonicityNot monotonic
2022-09-20T22:40:34.367297image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
138
 
1.4%
033
 
1.2%
(Missing)2725
97.5%
ValueCountFrequency (%)
033
1.2%
138
1.4%
ValueCountFrequency (%)
138
1.4%
033
1.2%

facit3_30
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)2.8%
Missing2725
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean0.5352112676
Minimum0
Maximum1
Zeros33
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:34.478177image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5023085539
Coefficient of variation (CV)0.938523877
Kurtosis-2.037408681
Mean0.5352112676
Median Absolute Deviation (MAD)0
Skewness-0.1442614655
Sum38
Variance0.2523138833
MonotonicityNot monotonic
2022-09-20T22:40:34.605427image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
138
 
1.4%
033
 
1.2%
(Missing)2725
97.5%
ValueCountFrequency (%)
033
1.2%
138
1.4%
ValueCountFrequency (%)
138
1.4%
033
1.2%

facit3_45
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)1.1%
Missing2622
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean0.4252873563
Minimum0
Maximum1
Zeros100
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:34.722976image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4958133135
Coefficient of variation (CV)1.165831305
Kurtosis-1.929360052
Mean0.4252873563
Median Absolute Deviation (MAD)0
Skewness0.3048784423
Sum74
Variance0.2458308418
MonotonicityNot monotonic
2022-09-20T22:40:34.834895image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0100
 
3.6%
174
 
2.6%
(Missing)2622
93.8%
ValueCountFrequency (%)
0100
3.6%
174
2.6%
ValueCountFrequency (%)
174
2.6%
0100
3.6%

GAC1
Real number (ℝ)

MISSING
ZEROS

Distinct7
Distinct (%)0.8%
Missing1882
Missing (%)67.3%
Infinite0
Infinite (%)0.0%
Mean-0.2144420131
Minimum-3
Maximum3
Zeros459
Zeros (%)16.4%
Negative284
Negative (%)10.2%
Memory size22.0 KiB
2022-09-20T22:40:34.935714image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum3
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.191412025
Coefficient of variation (CV)-5.55587036
Kurtosis0.7498597083
Mean-0.2144420131
Median Absolute Deviation (MAD)0
Skewness-0.09038755597
Sum-196
Variance1.419462613
MonotonicityNot monotonic
2022-09-20T22:40:35.456073image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0459
 
16.4%
-1159
 
5.7%
1105
 
3.8%
-282
 
2.9%
247
 
1.7%
-343
 
1.5%
319
 
0.7%
(Missing)1882
67.3%
ValueCountFrequency (%)
-343
 
1.5%
-282
 
2.9%
-1159
 
5.7%
0459
16.4%
1105
 
3.8%
ValueCountFrequency (%)
319
 
0.7%
247
 
1.7%
1105
 
3.8%
0459
16.4%
-1159
 
5.7%

GAC2
Real number (ℝ)

MISSING
ZEROS

Distinct7
Distinct (%)0.8%
Missing1885
Missing (%)67.4%
Infinite0
Infinite (%)0.0%
Mean-0.1844127333
Minimum-3
Maximum3
Zeros465
Zeros (%)16.6%
Negative269
Negative (%)9.6%
Memory size22.0 KiB
2022-09-20T22:40:35.551198image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum3
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.130505411
Coefficient of variation (CV)-6.130300175
Kurtosis0.8113725183
Mean-0.1844127333
Median Absolute Deviation (MAD)0
Skewness-0.1912172624
Sum-168
Variance1.278042484
MonotonicityNot monotonic
2022-09-20T22:40:35.639034image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0465
 
16.6%
-1157
 
5.6%
1118
 
4.2%
-277
 
2.8%
247
 
1.7%
-335
 
1.3%
312
 
0.4%
(Missing)1885
67.4%
ValueCountFrequency (%)
-335
 
1.3%
-277
 
2.8%
-1157
 
5.6%
0465
16.6%
1118
 
4.2%
ValueCountFrequency (%)
312
 
0.4%
247
 
1.7%
1118
 
4.2%
0465
16.6%
-1157
 
5.6%

mmrc
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2460
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean2.782738095
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:35.737940image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.137081733
Coefficient of variation (CV)0.4086197459
Kurtosis-0.792002061
Mean2.782738095
Median Absolute Deviation (MAD)1
Skewness0.2629992751
Sum935
Variance1.292954869
MonotonicityNot monotonic
2022-09-20T22:40:35.834254image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2115
 
4.1%
385
 
3.0%
470
 
2.5%
140
 
1.4%
526
 
0.9%
(Missing)2460
88.0%
ValueCountFrequency (%)
140
 
1.4%
2115
4.1%
385
3.0%
470
2.5%
526
 
0.9%
ValueCountFrequency (%)
526
 
0.9%
470
2.5%
385
3.0%
2115
4.1%
140
 
1.4%

psqi01
Categorical

Distinct48
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2465 
11:00 PM
 
57
10:00 PM
 
49
11:30 PM
 
31
10:30 PM
 
26
Other values (43)
 
168

Unique

Unique20 ?
Unique (%)0.7%

Sample

1st row10:00 PM
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2465
88.2%
11:00 PM57
 
2.0%
10:00 PM49
 
1.8%
11:30 PM31
 
1.1%
10:30 PM26
 
0.9%
01:00 AM22
 
0.8%
12:00 AM16
 
0.6%
09:30 PM16
 
0.6%
09:00 PM12
 
0.4%
02:00 AM10
 
0.4%
Other values (38)92
 
3.3%

psqi02
Categorical

Distinct24
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2468 
30
 
68
15
 
56
5
 
34
10
 
30
Other values (19)
 
140

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row2
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2468
88.3%
3068
 
2.4%
1556
 
2.0%
534
 
1.2%
1030
 
1.1%
2029
 
1.0%
6023
 
0.8%
4520
 
0.7%
12013
 
0.5%
9010
 
0.4%
Other values (14)45
 
1.6%

psqi03
Categorical

Distinct50
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2465 
06:00 AM
 
44
07:00 AM
 
41
08:00 AM
 
33
09:00 AM
 
24
Other values (45)
 
189

Unique

Unique24 ?
Unique (%)0.9%

Sample

1st row06:00 AM
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2465
88.2%
06:00 AM44
 
1.6%
07:00 AM41
 
1.5%
08:00 AM33
 
1.2%
09:00 AM24
 
0.9%
05:00 AM24
 
0.9%
06:30 AM21
 
0.8%
05:30 AM18
 
0.6%
07:30 AM17
 
0.6%
10:00 AM14
 
0.5%
Other values (40)95
 
3.4%

psqi04
Categorical

Distinct12
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2470 
8
 
87
6
 
72
7
 
60
5
 
45
Other values (7)
 
62

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2470
88.3%
887
 
3.1%
672
 
2.6%
760
 
2.1%
545
 
1.6%
429
 
1.0%
914
 
0.5%
37
 
0.3%
106
 
0.2%
122
 
0.1%
Other values (2)4
 
0.1%

psqi05
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.344410876
Minimum0
Maximum3
Zeros128
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:35.941477image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.260996672
Coefficient of variation (CV)0.9379548278
Kurtosis-1.615879628
Mean1.344410876
Median Absolute Deviation (MAD)1
Skewness0.2133240765
Sum445
Variance1.590112606
MonotonicityNot monotonic
2022-09-20T22:40:36.031186image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0128
 
4.6%
397
 
3.5%
158
 
2.1%
248
 
1.7%
(Missing)2465
88.2%
ValueCountFrequency (%)
0128
4.6%
158
2.1%
248
 
1.7%
397
3.5%
ValueCountFrequency (%)
397
3.5%
248
 
1.7%
158
2.1%
0128
4.6%

psqi06
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2469
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean2.290519878
Minimum0
Maximum3
Zeros33
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:36.131497image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.008249123
Coefficient of variation (CV)0.4401835288
Kurtosis0.1453371314
Mean2.290519878
Median Absolute Deviation (MAD)0
Skewness-1.204049127
Sum749
Variance1.016566293
MonotonicityNot monotonic
2022-09-20T22:40:36.221191image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3194
 
6.9%
267
 
2.4%
133
 
1.2%
033
 
1.2%
(Missing)2469
88.3%
ValueCountFrequency (%)
033
 
1.2%
133
 
1.2%
267
 
2.4%
3194
6.9%
ValueCountFrequency (%)
3194
6.9%
267
 
2.4%
133
 
1.2%
033
 
1.2%

psqi07
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.2%
Missing2468
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean2.411585366
Minimum0
Maximum3
Zeros22
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:36.319681image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9043489483
Coefficient of variation (CV)0.3750018395
Kurtosis1.080057733
Mean2.411585366
Median Absolute Deviation (MAD)0
Skewness-1.456387801
Sum791
Variance0.8178470202
MonotonicityNot monotonic
2022-09-20T22:40:36.407541image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3207
 
7.4%
271
 
2.5%
128
 
1.0%
022
 
0.8%
(Missing)2468
88.3%
ValueCountFrequency (%)
022
 
0.8%
128
 
1.0%
271
 
2.5%
3207
7.4%
ValueCountFrequency (%)
3207
7.4%
271
 
2.5%
128
 
1.0%
022
 
0.8%

psqi08
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2468
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.530487805
Minimum0
Maximum3
Zeros102
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:36.509943image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.241109203
Coefficient of variation (CV)0.8109239417
Kurtosis-1.615934548
Mean1.530487805
Median Absolute Deviation (MAD)1
Skewness-0.03633980943
Sum502
Variance1.540352055
MonotonicityNot monotonic
2022-09-20T22:40:36.598713image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3109
 
3.9%
0102
 
3.6%
159
 
2.1%
258
 
2.1%
(Missing)2468
88.3%
ValueCountFrequency (%)
0102
3.6%
159
2.1%
258
2.1%
3109
3.9%
ValueCountFrequency (%)
3109
3.9%
258
2.1%
159
2.1%
0102
3.6%

psqi09
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.577507599
Minimum0
Maximum3
Zeros105
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:36.707360image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.269090269
Coefficient of variation (CV)0.8044907485
Kurtosis-1.657478979
Mean1.577507599
Median Absolute Deviation (MAD)1
Skewness-0.1119737224
Sum519
Variance1.61059011
MonotonicityNot monotonic
2022-09-20T22:40:36.796138image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3119
 
4.3%
0105
 
3.8%
257
 
2.0%
148
 
1.7%
(Missing)2467
88.2%
ValueCountFrequency (%)
0105
3.8%
148
1.7%
257
2.0%
3119
4.3%
ValueCountFrequency (%)
3119
4.3%
257
2.0%
148
1.7%
0105
3.8%

psqi10
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean0.9635258359
Minimum0
Maximum3
Zeros154
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:36.899482image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.092605844
Coefficient of variation (CV)1.133966318
Kurtosis-0.8240126951
Mean0.9635258359
Median Absolute Deviation (MAD)1
Skewness0.7498701834
Sum317
Variance1.193787531
MonotonicityNot monotonic
2022-09-20T22:40:36.992310image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0154
 
5.5%
181
 
2.9%
348
 
1.7%
246
 
1.6%
(Missing)2467
88.2%
ValueCountFrequency (%)
0154
5.5%
181
2.9%
246
 
1.6%
348
 
1.7%
ValueCountFrequency (%)
348
 
1.7%
246
 
1.6%
181
2.9%
0154
5.5%

psqi11
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2468
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.536585366
Minimum0
Maximum3
Zeros104
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:37.094851image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.240943924
Coefficient of variation (CV)0.8075984264
Kurtosis-1.612101431
Mean1.536585366
Median Absolute Deviation (MAD)1
Skewness-0.06969296398
Sum504
Variance1.539941821
MonotonicityNot monotonic
2022-09-20T22:40:37.179396image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3107
 
3.8%
0104
 
3.7%
266
 
2.4%
151
 
1.8%
(Missing)2468
88.3%
ValueCountFrequency (%)
0104
3.7%
151
1.8%
266
2.4%
3107
3.8%
ValueCountFrequency (%)
3107
3.8%
266
2.4%
151
1.8%
0104
3.7%

psqi12
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2470
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean0.5582822086
Minimum0
Maximum3
Zeros214
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:37.271768image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8916581581
Coefficient of variation (CV)1.597145932
Kurtosis1.120909221
Mean0.5582822086
Median Absolute Deviation (MAD)0
Skewness1.487028594
Sum182
Variance0.7950542709
MonotonicityNot monotonic
2022-09-20T22:40:37.358125image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0214
 
7.7%
161
 
2.2%
232
 
1.1%
319
 
0.7%
(Missing)2470
88.3%
ValueCountFrequency (%)
0214
7.7%
161
 
2.2%
232
 
1.1%
319
 
0.7%
ValueCountFrequency (%)
319
 
0.7%
232
 
1.1%
161
 
2.2%
0214
7.7%

psqi13
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2469
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.651376147
Minimum0
Maximum3
Zeros97
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:37.450727image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.258415696
Coefficient of variation (CV)0.7620406158
Kurtosis-1.607003978
Mean1.651376147
Median Absolute Deviation (MAD)1
Skewness-0.2202383674
Sum540
Variance1.583610064
MonotonicityNot monotonic
2022-09-20T22:40:37.532188image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3124
 
4.4%
097
 
3.5%
262
 
2.2%
144
 
1.6%
(Missing)2469
88.3%
ValueCountFrequency (%)
097
3.5%
144
 
1.6%
262
2.2%
3124
4.4%
ValueCountFrequency (%)
3124
4.4%
262
2.2%
144
 
1.6%
097
3.5%

psqi14
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2466
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.145454545
Minimum0
Maximum3
Zeros142
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:37.621947image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.173437242
Coefficient of variation (CV)1.024429338
Kurtosis-1.338434988
Mean1.145454545
Median Absolute Deviation (MAD)1
Skewness0.4415566316
Sum378
Variance1.37695496
MonotonicityNot monotonic
2022-09-20T22:40:37.708912image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0142
 
5.1%
364
 
2.3%
162
 
2.2%
262
 
2.2%
(Missing)2466
88.2%
ValueCountFrequency (%)
0142
5.1%
162
2.2%
262
2.2%
364
2.3%
ValueCountFrequency (%)
364
2.3%
262
2.2%
162
2.2%
0142
5.1%

psqi15
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2472
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean0.8271604938
Minimum0
Maximum3
Zeros223
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:38.107190image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.276509593
Coefficient of variation (CV)1.543242941
Kurtosis-0.923988407
Mean0.8271604938
Median Absolute Deviation (MAD)0
Skewness0.9833363176
Sum268
Variance1.629476742
MonotonicityNot monotonic
2022-09-20T22:40:38.199626image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0223
 
8.0%
373
 
2.6%
221
 
0.8%
17
 
0.3%
(Missing)2472
88.4%
ValueCountFrequency (%)
0223
8.0%
17
 
0.3%
221
 
0.8%
373
 
2.6%
ValueCountFrequency (%)
373
 
2.6%
221
 
0.8%
17
 
0.3%
0223
8.0%

psqi16
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2471
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean0.3476923077
Minimum0
Maximum3
Zeros263
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:38.289941image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7929293424
Coefficient of variation (CV)2.280548994
Kurtosis3.912480511
Mean0.3476923077
Median Absolute Deviation (MAD)0
Skewness2.247828657
Sum113
Variance0.6287369421
MonotonicityNot monotonic
2022-09-20T22:40:38.375852image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0263
 
9.4%
125
 
0.9%
223
 
0.8%
314
 
0.5%
(Missing)2471
88.4%
ValueCountFrequency (%)
0263
9.4%
125
 
0.9%
223
 
0.8%
314
 
0.5%
ValueCountFrequency (%)
314
 
0.5%
223
 
0.8%
125
 
0.9%
0263
9.4%

psqi17
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2472
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean1.358024691
Minimum0
Maximum3
Zeros113
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:38.486407image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.206880604
Coefficient of variation (CV)0.8887029901
Kurtosis-1.521632928
Mean1.358024691
Median Absolute Deviation (MAD)1
Skewness0.1875122024
Sum440
Variance1.456560792
MonotonicityNot monotonic
2022-09-20T22:40:38.637700image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0113
 
4.0%
385
 
3.0%
167
 
2.4%
259
 
2.1%
(Missing)2472
88.4%
ValueCountFrequency (%)
0113
4.0%
167
2.4%
259
2.1%
385
3.0%
ValueCountFrequency (%)
385
3.0%
259
2.1%
167
2.4%
0113
4.0%

psqi18
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2470
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.196319018
Minimum0
Maximum3
Zeros66
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:38.753899image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8511270046
Coefficient of variation (CV)0.7114548807
Kurtosis-0.3812590927
Mean1.196319018
Median Absolute Deviation (MAD)1
Skewness0.3960303988
Sum390
Variance0.7244171779
MonotonicityNot monotonic
2022-09-20T22:40:38.863269image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1156
 
5.6%
278
 
2.8%
066
 
2.4%
326
 
0.9%
(Missing)2470
88.3%
ValueCountFrequency (%)
066
2.4%
1156
5.6%
278
2.8%
326
 
0.9%
ValueCountFrequency (%)
326
 
0.9%
278
2.8%
1156
5.6%
066
2.4%

psqi101
Categorical

HIGH CARDINALITY

Distinct127
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2637 
pain
 
5
xx
 
5
restless
 
4
worry
 
3
Other values (122)
 
142

Unique

Unique108 ?
Unique (%)3.9%

Sample

1st rownoise
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2637
94.3%
pain5
 
0.2%
xx5
 
0.2%
restless4
 
0.1%
worry3
 
0.1%
coughing3
 
0.1%
menapause3
 
0.1%
back pain3
 
0.1%
none3
 
0.1%
anxiety3
 
0.1%
Other values (117)127
 
4.5%

sgrq01
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2466
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean3.012121212
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:39.013770image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q12
median3
Q34
95-th percentile4.55
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9387819748
Coefficient of variation (CV)0.31166806
Kurtosis-0.2455371543
Mean3.012121212
Median Absolute Deviation (MAD)1
Skewness-0.02418865876
Sum994
Variance0.8813115962
MonotonicityNot monotonic
2022-09-20T22:40:39.118255image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3142
 
5.1%
479
 
2.8%
275
 
2.7%
117
 
0.6%
517
 
0.6%
(Missing)2466
88.2%
ValueCountFrequency (%)
117
 
0.6%
275
2.7%
3142
5.1%
479
2.8%
517
 
0.6%
ValueCountFrequency (%)
517
 
0.6%
479
2.8%
3142
5.1%
275
2.7%
117
 
0.6%

sgrq02
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2463
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean2.102102102
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:39.226779image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.353852745
Coefficient of variation (CV)0.6440470915
Kurtosis-0.2760247907
Mean2.102102102
Median Absolute Deviation (MAD)1
Skewness0.9930877711
Sum700
Variance1.832917255
MonotonicityNot monotonic
2022-09-20T22:40:39.320982image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1163
 
5.8%
264
 
2.3%
350
 
1.8%
535
 
1.3%
421
 
0.8%
(Missing)2463
88.1%
ValueCountFrequency (%)
1163
5.8%
264
 
2.3%
350
 
1.8%
421
 
0.8%
535
 
1.3%
ValueCountFrequency (%)
535
 
1.3%
421
 
0.8%
350
 
1.8%
264
 
2.3%
1163
5.8%

sgrq03
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2464
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean2.280120482
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:39.426309image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.444803999
Coefficient of variation (CV)0.6336524804
Kurtosis-0.8084209922
Mean2.280120482
Median Absolute Deviation (MAD)1
Skewness0.7831077983
Sum757
Variance2.087458596
MonotonicityNot monotonic
2022-09-20T22:40:39.528968image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1145
 
5.2%
271
 
2.5%
545
 
1.6%
339
 
1.4%
432
 
1.1%
(Missing)2464
88.1%
ValueCountFrequency (%)
1145
5.2%
271
2.5%
339
 
1.4%
432
 
1.1%
545
 
1.6%
ValueCountFrequency (%)
545
 
1.6%
432
 
1.1%
339
 
1.4%
271
2.5%
1145
5.2%

sgrq04
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2464
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.734939759
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:39.629297image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.075228773
Coefficient of variation (CV)0.6197499179
Kurtosis1.18900795
Mean1.734939759
Median Absolute Deviation (MAD)0
Skewness1.394866149
Sum576
Variance1.156116915
MonotonicityNot monotonic
2022-09-20T22:40:39.726504image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1201
 
7.2%
357
 
2.0%
252
 
1.9%
512
 
0.4%
410
 
0.4%
(Missing)2464
88.1%
ValueCountFrequency (%)
1201
7.2%
252
 
1.9%
357
 
2.0%
410
 
0.4%
512
 
0.4%
ValueCountFrequency (%)
512
 
0.4%
410
 
0.4%
357
 
2.0%
252
 
1.9%
1201
7.2%

sgrq05
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2470
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean3.116564417
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:39.829729image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.492102855
Coefficient of variation (CV)0.4787652861
Kurtosis-1.394276641
Mean3.116564417
Median Absolute Deviation (MAD)1
Skewness-0.06108382888
Sum1016
Variance2.22637093
MonotonicityNot monotonic
2022-09-20T22:40:39.919483image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
591
 
3.3%
369
 
2.5%
166
 
2.4%
256
 
2.0%
444
 
1.6%
(Missing)2470
88.3%
ValueCountFrequency (%)
166
2.4%
256
2.0%
369
2.5%
444
1.6%
591
3.3%
ValueCountFrequency (%)
591
3.3%
444
1.6%
369
2.5%
256
2.0%
166
2.4%

sgrq06
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2463
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean3.135135135
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:40.019395image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.690618087
Coefficient of variation (CV)0.5392488725
Kurtosis-1.67037246
Mean3.135135135
Median Absolute Deviation (MAD)2
Skewness-0.1571019754
Sum1044
Variance2.858189515
MonotonicityNot monotonic
2022-09-20T22:40:40.111999image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5117
 
4.2%
1102
 
3.6%
447
 
1.7%
335
 
1.3%
232
 
1.1%
(Missing)2463
88.1%
ValueCountFrequency (%)
1102
3.6%
232
 
1.1%
335
 
1.3%
447
1.7%
5117
4.2%
ValueCountFrequency (%)
5117
4.2%
447
1.7%
335
 
1.3%
232
 
1.1%
1102
3.6%

sgrq07
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.8%
Missing2573
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean2.825112108
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:40.212488image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.21584763
Coefficient of variation (CV)0.4303714628
Kurtosis-1.450773676
Mean2.825112108
Median Absolute Deviation (MAD)1
Skewness-0.4036626819
Sum630
Variance1.47828546
MonotonicityNot monotonic
2022-09-20T22:40:40.299015image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
499
 
3.5%
149
 
1.8%
240
 
1.4%
335
 
1.3%
(Missing)2573
92.0%
ValueCountFrequency (%)
149
1.8%
240
1.4%
335
 
1.3%
499
3.5%
ValueCountFrequency (%)
499
3.5%
335
 
1.3%
240
1.4%
149
1.8%

sgrq08
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)1.5%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean3.196374622
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:40.396255image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.117675686
Coefficient of variation (CV)0.3496698033
Kurtosis-0.569261922
Mean3.196374622
Median Absolute Deviation (MAD)1
Skewness-0.4724508781
Sum1058
Variance1.249198938
MonotonicityNot monotonic
2022-09-20T22:40:40.501110image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4127
 
4.5%
392
 
3.3%
250
 
1.8%
134
 
1.2%
528
 
1.0%
(Missing)2465
88.2%
ValueCountFrequency (%)
134
 
1.2%
250
 
1.8%
392
3.3%
4127
4.5%
528
 
1.0%
ValueCountFrequency (%)
528
 
1.0%
4127
4.5%
392
3.3%
250
 
1.8%
134
 
1.2%

sgrq09
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2471
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean1.44
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:40.605088image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4971523849
Coefficient of variation (CV)0.3452447117
Kurtosis-1.953071638
Mean1.44
Median Absolute Deviation (MAD)0
Skewness0.2428692645
Sum468
Variance0.2471604938
MonotonicityNot monotonic
2022-09-20T22:40:41.034480image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1182
 
6.5%
2143
 
5.1%
(Missing)2471
88.4%
ValueCountFrequency (%)
1182
6.5%
2143
5.1%
ValueCountFrequency (%)
2143
5.1%
1182
6.5%

sgrq10
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.2%
Missing2466
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.945454545
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:41.153975image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8907122621
Coefficient of variation (CV)0.4578427515
Kurtosis-1.14636356
Mean1.945454545
Median Absolute Deviation (MAD)1
Skewness0.3408541609
Sum642
Variance0.7933683338
MonotonicityNot monotonic
2022-09-20T22:40:41.281964image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1131
 
4.7%
395
 
3.4%
295
 
3.4%
49
 
0.3%
(Missing)2466
88.2%
ValueCountFrequency (%)
1131
4.7%
295
3.4%
395
3.4%
49
 
0.3%
ValueCountFrequency (%)
49
 
0.3%
395
3.4%
295
3.4%
1131
4.7%

sgrq12
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.2%
Missing2470
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean2.23006135
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:41.404866image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9507007922
Coefficient of variation (CV)0.4263114969
Kurtosis-1.333361894
Mean2.23006135
Median Absolute Deviation (MAD)1
Skewness-0.1286539887
Sum727
Variance0.9038319962
MonotonicityNot monotonic
2022-09-20T22:40:41.521699image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3145
 
5.2%
1102
 
3.6%
263
 
2.3%
416
 
0.6%
(Missing)2470
88.3%
ValueCountFrequency (%)
1102
3.6%
263
2.3%
3145
5.2%
416
 
0.6%
ValueCountFrequency (%)
416
 
0.6%
3145
5.2%
263
2.3%
1102
3.6%

sgrq13
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2470
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.757668712
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:41.620748image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4291523962
Coefficient of variation (CV)0.244160002
Kurtosis-0.5435316944
Mean1.757668712
Median Absolute Deviation (MAD)0
Skewness-1.208238666
Sum573
Variance0.1841717791
MonotonicityNot monotonic
2022-09-20T22:40:41.708536image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2247
 
8.8%
179
 
2.8%
(Missing)2470
88.3%
ValueCountFrequency (%)
179
 
2.8%
2247
8.8%
ValueCountFrequency (%)
2247
8.8%
179
 
2.8%

sgrq14
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2468
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.454268293
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:41.795645image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4986649589
Coefficient of variation (CV)0.342897498
Kurtosis-1.978043074
Mean1.454268293
Median Absolute Deviation (MAD)0
Skewness0.1845418216
Sum477
Variance0.2486667413
MonotonicityNot monotonic
2022-09-20T22:40:41.882940image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1179
 
6.4%
2149
 
5.3%
(Missing)2468
88.3%
ValueCountFrequency (%)
1179
6.4%
2149
5.3%
ValueCountFrequency (%)
2149
5.3%
1179
6.4%

sgrq15
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2466
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.521212121
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:41.972152image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5003084615
Coefficient of variation (CV)0.3288880325
Kurtosis-2.004909689
Mean1.521212121
Median Absolute Deviation (MAD)0
Skewness-0.08531322196
Sum502
Variance0.2503085567
MonotonicityNot monotonic
2022-09-20T22:40:42.060504image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2172
 
6.2%
1158
 
5.7%
(Missing)2466
88.2%
ValueCountFrequency (%)
1158
5.7%
2172
6.2%
ValueCountFrequency (%)
2172
6.2%
1158
5.7%

sgrq16
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.358662614
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:42.150827image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.480338459
Coefficient of variation (CV)0.3535377025
Kurtosis-1.659554991
Mean1.358662614
Median Absolute Deviation (MAD)0
Skewness0.5920901489
Sum447
Variance0.2307250352
MonotonicityNot monotonic
2022-09-20T22:40:42.246690image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1211
 
7.5%
2118
 
4.2%
(Missing)2467
88.2%
ValueCountFrequency (%)
1211
7.5%
2118
4.2%
ValueCountFrequency (%)
2118
4.2%
1211
7.5%

sgrq17
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.102719033
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:42.337446image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3040511962
Coefficient of variation (CV)0.275728619
Kurtosis4.942184796
Mean1.102719033
Median Absolute Deviation (MAD)0
Skewness2.629136498
Sum365
Variance0.09244712991
MonotonicityNot monotonic
2022-09-20T22:40:42.422252image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1297
 
10.6%
234
 
1.2%
(Missing)2465
88.2%
ValueCountFrequency (%)
1297
10.6%
234
 
1.2%
ValueCountFrequency (%)
234
 
1.2%
1297
10.6%

sgrq18
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2469
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.033639144
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:42.509826image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.180574827
Coefficient of variation (CV)0.1746981315
Kurtosis25.16349473
Mean1.033639144
Median Absolute Deviation (MAD)0
Skewness5.19707843
Sum338
Variance0.03260726816
MonotonicityNot monotonic
2022-09-20T22:40:42.594500image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1316
 
11.3%
211
 
0.4%
(Missing)2469
88.3%
ValueCountFrequency (%)
1316
11.3%
211
 
0.4%
ValueCountFrequency (%)
211
 
0.4%
1316
11.3%

sgrq19
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2462
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.050898204
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:42.681768image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.35
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2201196135
Coefficient of variation (CV)0.2094585496
Kurtosis14.94133414
Mean1.050898204
Median Absolute Deviation (MAD)0
Skewness4.105106507
Sum351
Variance0.04845264426
MonotonicityNot monotonic
2022-09-20T22:40:42.773059image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1317
 
11.3%
217
 
0.6%
(Missing)2462
88.1%
ValueCountFrequency (%)
1317
11.3%
217
 
0.6%
ValueCountFrequency (%)
217
 
0.6%
1317
11.3%

sgrq20
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2466
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.545454545
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:42.863282image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4986857555
Coefficient of variation (CV)0.3226790183
Kurtosis-1.978388466
Mean1.545454545
Median Absolute Deviation (MAD)0
Skewness-0.1834089176
Sum510
Variance0.2486874827
MonotonicityNot monotonic
2022-09-20T22:40:42.950944image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2180
 
6.4%
1150
 
5.4%
(Missing)2466
88.2%
ValueCountFrequency (%)
1150
5.4%
2180
6.4%
ValueCountFrequency (%)
2180
6.4%
1150
5.4%

sgrq21
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2463
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.417417417
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:43.040292image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4938750725
Coefficient of variation (CV)0.3484330491
Kurtosis-1.898240161
Mean1.417417417
Median Absolute Deviation (MAD)0
Skewness0.3364477197
Sum472
Variance0.2439125873
MonotonicityNot monotonic
2022-09-20T22:40:43.129536image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1194
 
6.9%
2139
 
5.0%
(Missing)2463
88.1%
ValueCountFrequency (%)
1194
6.9%
2139
5.0%
ValueCountFrequency (%)
2139
5.0%
1194
6.9%

sgrq22
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2464
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.527108434
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:43.219629image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5000181994
Coefficient of variation (CV)0.3274280911
Kurtosis-2.000185972
Mean1.527108434
Median Absolute Deviation (MAD)0
Skewness-0.1090869385
Sum507
Variance0.2500181997
MonotonicityNot monotonic
2022-09-20T22:40:43.307315image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2175
 
6.3%
1157
 
5.6%
(Missing)2464
88.1%
ValueCountFrequency (%)
1157
5.6%
2175
6.3%
ValueCountFrequency (%)
2175
6.3%
1157
5.6%

sgrq23
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.386706949
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:43.396387image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4877328832
Coefficient of variation (CV)0.3517202273
Kurtosis-1.792409741
Mean1.386706949
Median Absolute Deviation (MAD)0
Skewness0.4673942104
Sum459
Variance0.2378833654
MonotonicityNot monotonic
2022-09-20T22:40:43.771989image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1203
 
7.3%
2128
 
4.6%
(Missing)2465
88.2%
ValueCountFrequency (%)
1203
7.3%
2128
4.6%
ValueCountFrequency (%)
2128
4.6%
1203
7.3%

sgrq24
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.444108761
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:43.867826image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.497618608
Coefficient of variation (CV)0.3445852704
Kurtosis-1.96080844
Mean1.444108761
Median Absolute Deviation (MAD)0
Skewness0.2260004033
Sum478
Variance0.247624279
MonotonicityNot monotonic
2022-09-20T22:40:43.961146image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1184
 
6.6%
2147
 
5.3%
(Missing)2465
88.2%
ValueCountFrequency (%)
1184
6.6%
2147
5.3%
ValueCountFrequency (%)
2147
5.3%
1184
6.6%

sgrq25
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.185410334
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:44.053138image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3892220571
Coefficient of variation (CV)0.3283437354
Kurtosis0.6490586098
Mean1.185410334
Median Absolute Deviation (MAD)0
Skewness1.626391699
Sum390
Variance0.1514938098
MonotonicityNot monotonic
2022-09-20T22:40:44.139121image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1268
 
9.6%
261
 
2.2%
(Missing)2467
88.2%
ValueCountFrequency (%)
1268
9.6%
261
 
2.2%
ValueCountFrequency (%)
261
 
2.2%
1268
9.6%

sgrq26
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2464
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.415662651
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:44.229161image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4935797906
Coefficient of variation (CV)0.3486563627
Kurtosis-1.893237308
Mean1.415662651
Median Absolute Deviation (MAD)0
Skewness0.3438085856
Sum470
Variance0.2436210097
MonotonicityNot monotonic
2022-09-20T22:40:44.331513image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1194
 
6.9%
2138
 
4.9%
(Missing)2464
88.1%
ValueCountFrequency (%)
1194
6.9%
2138
4.9%
ValueCountFrequency (%)
2138
4.9%
1194
6.9%

sgrq27
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.649546828
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:44.430974image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4778342302
Coefficient of variation (CV)0.2896760627
Kurtosis-1.61321044
Mean1.649546828
Median Absolute Deviation (MAD)0
Skewness-0.6297411007
Sum546
Variance0.2283255516
MonotonicityNot monotonic
2022-09-20T22:40:44.522038image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2215
 
7.7%
1116
 
4.1%
(Missing)2465
88.2%
ValueCountFrequency (%)
1116
4.1%
2215
7.7%
ValueCountFrequency (%)
2215
7.7%
1116
4.1%

sgrq28
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.35347432
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:44.611688image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.478772118
Coefficient of variation (CV)0.3537356497
Kurtosis-1.630667386
Mean1.35347432
Median Absolute Deviation (MAD)0
Skewness0.6158103524
Sum448
Variance0.229222741
MonotonicityNot monotonic
2022-09-20T22:40:44.703611image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1214
 
7.7%
2117
 
4.2%
(Missing)2465
88.2%
ValueCountFrequency (%)
1214
7.7%
2117
4.2%
ValueCountFrequency (%)
2117
4.2%
1214
7.7%

sgrq29
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.438066465
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:44.799111image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4969005831
Coefficient of variation (CV)0.3455338089
Kurtosis-1.948914746
Mean1.438066465
Median Absolute Deviation (MAD)0
Skewness0.2507947566
Sum476
Variance0.2469101895
MonotonicityNot monotonic
2022-09-20T22:40:44.892018image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1186
 
6.7%
2145
 
5.2%
(Missing)2465
88.2%
ValueCountFrequency (%)
1186
6.7%
2145
5.2%
ValueCountFrequency (%)
2145
5.2%
1186
6.7%

sgrq30
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.37993921
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:44.985511image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4861107434
Coefficient of variation (CV)0.3522696797
Kurtosis-1.763764194
Mean1.37993921
Median Absolute Deviation (MAD)0
Skewness0.4969859592
Sum454
Variance0.2363036548
MonotonicityNot monotonic
2022-09-20T22:40:45.078086image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1204
 
7.3%
2125
 
4.5%
(Missing)2467
88.2%
ValueCountFrequency (%)
1204
7.3%
2125
4.5%
ValueCountFrequency (%)
2125
4.5%
1204
7.3%

sgrq31
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.765957447
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:45.171281image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4240438434
Coefficient of variation (CV)0.2401212125
Kurtosis-0.4097359024
Mean1.765957447
Median Absolute Deviation (MAD)0
Skewness-1.262058639
Sum581
Variance0.1798131811
MonotonicityNot monotonic
2022-09-20T22:40:45.257357image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2252
 
9.0%
177
 
2.8%
(Missing)2467
88.2%
ValueCountFrequency (%)
177
 
2.8%
2252
9.0%
ValueCountFrequency (%)
2252
9.0%
177
 
2.8%

sgrq32
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.674772036
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:45.343723image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4691735335
Coefficient of variation (CV)0.2801417287
Kurtosis-1.446966849
Mean1.674772036
Median Absolute Deviation (MAD)0
Skewness-0.74957757
Sum551
Variance0.2201238046
MonotonicityNot monotonic
2022-09-20T22:40:45.431057image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2222
 
7.9%
1107
 
3.8%
(Missing)2467
88.2%
ValueCountFrequency (%)
1107
3.8%
2222
7.9%
ValueCountFrequency (%)
2222
7.9%
1107
3.8%

sgrq33
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.63141994
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:45.519728image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4831501198
Coefficient of variation (CV)0.296153129
Kurtosis-1.710814954
Mean1.63141994
Median Absolute Deviation (MAD)0
Skewness-0.5473199305
Sum540
Variance0.2334340383
MonotonicityNot monotonic
2022-09-20T22:40:45.607157image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2209
 
7.5%
1122
 
4.4%
(Missing)2465
88.2%
ValueCountFrequency (%)
1122
4.4%
2209
7.5%
ValueCountFrequency (%)
2209
7.5%
1122
4.4%

sgrq34
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2463
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.027027027
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:45.700276image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1624061987
Coefficient of variation (CV)0.1581323513
Kurtosis32.53216353
Mean1.027027027
Median Absolute Deviation (MAD)0
Skewness5.859761753
Sum342
Variance0.02637577336
MonotonicityNot monotonic
2022-09-20T22:40:45.787102image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1324
 
11.6%
29
 
0.3%
(Missing)2463
88.1%
ValueCountFrequency (%)
1324
11.6%
29
 
0.3%
ValueCountFrequency (%)
29
 
0.3%
1324
11.6%

sgrq35
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2474
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean1.770186335
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:45.885875image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4213677064
Coefficient of variation (CV)0.238035792
Kurtosis-0.3368942837
Mean1.770186335
Median Absolute Deviation (MAD)0
Skewness-1.29044061
Sum570
Variance0.177550744
MonotonicityNot monotonic
2022-09-20T22:40:45.977181image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2248
 
8.9%
174
 
2.6%
(Missing)2474
88.5%
ValueCountFrequency (%)
174
 
2.6%
2248
8.9%
ValueCountFrequency (%)
2248
8.9%
174
 
2.6%

sgrq36
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2476
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean1.80625
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:46.084294image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3958543002
Coefficient of variation (CV)0.2191580901
Kurtosis0.426933708
Mean1.80625
Median Absolute Deviation (MAD)0
Skewness-1.557017824
Sum578
Variance0.156700627
MonotonicityNot monotonic
2022-09-20T22:40:46.510638image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2258
 
9.2%
162
 
2.2%
(Missing)2476
88.6%
ValueCountFrequency (%)
162
 
2.2%
2258
9.2%
ValueCountFrequency (%)
2258
9.2%
162
 
2.2%

sgrq37
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2474
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean1.822981366
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:46.597166image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3822785348
Coefficient of variation (CV)0.2096996392
Kurtosis0.896655823
Mean1.822981366
Median Absolute Deviation (MAD)0
Skewness-1.700330887
Sum587
Variance0.1461368782
MonotonicityNot monotonic
2022-09-20T22:40:46.681753image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2265
 
9.5%
157
 
2.0%
(Missing)2474
88.5%
ValueCountFrequency (%)
157
 
2.0%
2265
9.5%
ValueCountFrequency (%)
2265
9.5%
157
 
2.0%

sgrq38
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2476
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean1.784375
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:46.769865image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4118993204
Coefficient of variation (CV)0.230836747
Kurtosis-0.06981291848
Mean1.784375
Median Absolute Deviation (MAD)0
Skewness-1.389482856
Sum571
Variance0.1696610502
MonotonicityNot monotonic
2022-09-20T22:40:46.859563image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2251
 
9.0%
169
 
2.5%
(Missing)2476
88.6%
ValueCountFrequency (%)
169
 
2.5%
2251
9.0%
ValueCountFrequency (%)
2251
9.0%
169
 
2.5%

sgrq39
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.546827795
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:46.960810image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4985560033
Coefficient of variation (CV)0.3223086662
Kurtosis-1.976258617
Mean1.546827795
Median Absolute Deviation (MAD)0
Skewness-0.1889956663
Sum512
Variance0.2485580884
MonotonicityNot monotonic
2022-09-20T22:40:47.066492image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2181
 
6.5%
1150
 
5.4%
(Missing)2465
88.2%
ValueCountFrequency (%)
1150
5.4%
2181
6.5%
ValueCountFrequency (%)
2181
6.5%
1150
5.4%

sgrq40
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.699088146
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:47.169426image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4593530925
Coefficient of variation (CV)0.2703527145
Kurtosis-1.247022312
Mean1.699088146
Median Absolute Deviation (MAD)0
Skewness-0.8721213101
Sum559
Variance0.2110052635
MonotonicityNot monotonic
2022-09-20T22:40:47.257008image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2230
 
8.2%
199
 
3.5%
(Missing)2467
88.2%
ValueCountFrequency (%)
199
3.5%
2230
8.2%
ValueCountFrequency (%)
2230
8.2%
199
3.5%

sgrq41
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2468
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.240853659
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:47.349744image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4282549791
Coefficient of variation (CV)0.3451293198
Kurtosis-0.5204957003
Mean1.240853659
Median Absolute Deviation (MAD)0
Skewness1.21766802
Sum407
Variance0.1834023271
MonotonicityNot monotonic
2022-09-20T22:40:47.441589image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1249
 
8.9%
279
 
2.8%
(Missing)2468
88.3%
ValueCountFrequency (%)
1249
8.9%
279
 
2.8%
ValueCountFrequency (%)
279
 
2.8%
1249
8.9%

sgrq42
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2467
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.20668693
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:47.529511image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4055457357
Coefficient of variation (CV)0.3360819825
Kurtosis0.1187505676
Mean1.20668693
Median Absolute Deviation (MAD)0
Skewness1.455357597
Sum397
Variance0.1644673438
MonotonicityNot monotonic
2022-09-20T22:40:47.619784image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1261
 
9.3%
268
 
2.4%
(Missing)2467
88.2%
ValueCountFrequency (%)
1261
9.3%
268
 
2.4%
ValueCountFrequency (%)
268
 
2.4%
1261
9.3%

sgrq43
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2464
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.198795181
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:47.721768image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3996959497
Coefficient of variation (CV)0.3334147118
Kurtosis0.300954728
Mean1.198795181
Median Absolute Deviation (MAD)0
Skewness1.516304097
Sum398
Variance0.1597568522
MonotonicityNot monotonic
2022-09-20T22:40:47.819418image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1266
 
9.5%
266
 
2.4%
(Missing)2464
88.1%
ValueCountFrequency (%)
1266
9.5%
266
 
2.4%
ValueCountFrequency (%)
266
 
2.4%
1266
9.5%

sgrq44
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2464
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.078313253
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:47.917034image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2690694237
Coefficient of variation (CV)0.2495280689
Kurtosis7.992072175
Mean1.078313253
Median Absolute Deviation (MAD)0
Skewness3.153404935
Sum358
Variance0.07239835475
MonotonicityNot monotonic
2022-09-20T22:40:48.012581image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1306
 
10.9%
226
 
0.9%
(Missing)2464
88.1%
ValueCountFrequency (%)
1306
10.9%
226
 
0.9%
ValueCountFrequency (%)
226
 
0.9%
1306
10.9%

sgrq45
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2463
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean1.084084084
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:48.110116image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2779315035
Coefficient of variation (CV)0.2563744893
Kurtosis7.108917191
Mean1.084084084
Median Absolute Deviation (MAD)0
Skewness3.011022484
Sum361
Variance0.07724592062
MonotonicityNot monotonic
2022-09-20T22:40:48.204743image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1305
 
10.9%
228
 
1.0%
(Missing)2463
88.1%
ValueCountFrequency (%)
1305
10.9%
228
 
1.0%
ValueCountFrequency (%)
228
 
1.0%
1305
10.9%

sgrq46
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2466
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.051515152
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:48.300797image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.55
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2213816962
Coefficient of variation (CV)0.210535907
Kurtosis14.70608084
Mean1.051515152
Median Absolute Deviation (MAD)0
Skewness4.076394029
Sum347
Variance0.04900985539
MonotonicityNot monotonic
2022-09-20T22:40:48.399510image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1313
 
11.2%
217
 
0.6%
(Missing)2466
88.2%
ValueCountFrequency (%)
1313
11.2%
217
 
0.6%
ValueCountFrequency (%)
217
 
0.6%
1313
11.2%

sgrq47
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2470
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.036809816
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:48.489387image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1885840536
Coefficient of variation (CV)0.1818887617
Kurtosis22.56788179
Mean1.036809816
Median Absolute Deviation (MAD)0
Skewness4.942617087
Sum338
Variance0.03556394526
MonotonicityNot monotonic
2022-09-20T22:40:48.593311image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1314
 
11.2%
212
 
0.4%
(Missing)2470
88.3%
ValueCountFrequency (%)
1314
11.2%
212
 
0.4%
ValueCountFrequency (%)
212
 
0.4%
1314
11.2%

sgrq48
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.132930514
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:48.731752image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3400136245
Coefficient of variation (CV)0.3001186926
Kurtosis2.735253309
Mean1.132930514
Median Absolute Deviation (MAD)0
Skewness2.172271258
Sum375
Variance0.1156092649
MonotonicityNot monotonic
2022-09-20T22:40:48.854470image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1287
 
10.3%
244
 
1.6%
(Missing)2465
88.2%
ValueCountFrequency (%)
1287
10.3%
244
 
1.6%
ValueCountFrequency (%)
244
 
1.6%
1287
10.3%

sgrq49
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.746223565
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:48.986139image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4358300317
Coefficient of variation (CV)0.2495843261
Kurtosis-0.7120816713
Mean1.746223565
Median Absolute Deviation (MAD)0
Skewness-1.136775104
Sum578
Variance0.1899478165
MonotonicityNot monotonic
2022-09-20T22:40:49.464341image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2247
 
8.8%
184
 
3.0%
(Missing)2465
88.2%
ValueCountFrequency (%)
184
 
3.0%
2247
8.8%
ValueCountFrequency (%)
2247
8.8%
184
 
3.0%

sgrq50
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2470
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.889570552
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:49.569585image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3139061098
Coefficient of variation (CV)0.166125636
Kurtosis4.263147625
Mean1.889570552
Median Absolute Deviation (MAD)0
Skewness-2.497404774
Sum616
Variance0.09853704578
MonotonicityNot monotonic
2022-09-20T22:40:49.657226image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2290
 
10.4%
136
 
1.3%
(Missing)2470
88.3%
ValueCountFrequency (%)
136
 
1.3%
2290
10.4%
ValueCountFrequency (%)
2290
10.4%
136
 
1.3%

sgrq51
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.812688822
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:49.746693image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3907518276
Coefficient of variation (CV)0.2155647582
Kurtosis0.5962337782
Mean1.812688822
Median Absolute Deviation (MAD)0
Skewness-1.610176298
Sum600
Variance0.1526869908
MonotonicityNot monotonic
2022-09-20T22:40:49.832130image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2269
 
9.6%
162
 
2.2%
(Missing)2465
88.2%
ValueCountFrequency (%)
162
 
2.2%
2269
9.6%
ValueCountFrequency (%)
2269
9.6%
162
 
2.2%

sgrq52
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean1.918429003
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:49.920239image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2741244082
Coefficient of variation (CV)0.1428900458
Kurtosis7.478640951
Mean1.918429003
Median Absolute Deviation (MAD)0
Skewness-3.071398473
Sum635
Variance0.07514419116
MonotonicityNot monotonic
2022-09-20T22:40:50.011071image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2304
 
10.9%
127
 
1.0%
(Missing)2465
88.2%
ValueCountFrequency (%)
127
 
1.0%
2304
10.9%
ValueCountFrequency (%)
2304
10.9%
127
 
1.0%

sgrq53
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.2%
Missing2466
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean2.566666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:50.101322image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7620029065
Coefficient of variation (CV)0.2968842493
Kurtosis-0.2872283523
Mean2.566666667
Median Absolute Deviation (MAD)1
Skewness-0.2059943674
Sum847
Variance0.5806484296
MonotonicityNot monotonic
2022-09-20T22:40:50.189682image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3158
 
5.7%
2117
 
4.2%
428
 
1.0%
127
 
1.0%
(Missing)2466
88.2%
ValueCountFrequency (%)
127
 
1.0%
2117
4.2%
3158
5.7%
428
 
1.0%
ValueCountFrequency (%)
428
 
1.0%
3158
5.7%
2117
4.2%
127
 
1.0%

sgrq101
Categorical

HIGH CARDINALITY

Distinct108
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2608 
none
 
24
x
 
12
xx
 
7
sex
 
7
Other values (103)
 
138

Unique

Unique84 ?
Unique (%)3.0%

Sample

1st rowswimming
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2608
93.3%
none24
 
0.9%
x12
 
0.4%
xx7
 
0.3%
sex7
 
0.3%
running6
 
0.2%
xxx6
 
0.2%
swimming4
 
0.1%
fishing4
 
0.1%
walking3
 
0.1%
Other values (98)115
 
4.1%

sTOFLHA
Categorical

Distinct23
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2631 
36
 
44
35
 
43
34
 
20
33
 
11
Other values (18)
 
47

Unique

Unique8 ?
Unique (%)0.3%

Sample

1st row34
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
2631
94.1%
3644
 
1.6%
3543
 
1.5%
3420
 
0.7%
3311
 
0.4%
3211
 
0.4%
256
 
0.2%
294
 
0.1%
203
 
0.1%
243
 
0.1%
Other values (13)20
 
0.7%

toflhadt
Real number (ℝ≥0)

MISSING

Distinct126
Distinct (%)77.3%
Missing2633
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean1.34520904 × 1010
Minimum1.34346816 × 1010
Maximum1.34837568 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:50.310463image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.34346816 × 1010
5-th percentile1.343685888 × 1010
Q11.34414208 × 1010
median1.34493696 × 1010
Q31.34633664 × 1010
95-th percentile1.347306912 × 1010
Maximum1.34837568 × 1010
Range49075200
Interquartile range (IQR)21945600

Descriptive statistics

Standard deviation12240716.66
Coefficient of variation (CV)0.0009099490332
Kurtosis-0.7958533034
Mean1.34520904 × 1010
Median Absolute Deviation (MAD)9417600
Skewness0.5244066572
Sum2.192690736 × 1012
Variance1.498351443 × 1014
MonotonicityNot monotonic
2022-09-20T22:40:50.453588image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.34375328 × 10103
 
0.1%
1.34512704 × 10103
 
0.1%
1.34402112 × 10103
 
0.1%
1.3465008 × 10103
 
0.1%
1.34562816 × 10103
 
0.1%
1.34385696 × 10103
 
0.1%
1.34548128 × 10103
 
0.1%
1.3452048 × 10102
 
0.1%
1.3447728 × 10102
 
0.1%
1.344816 × 10102
 
0.1%
Other values (116)136
 
4.9%
(Missing)2633
94.2%
ValueCountFrequency (%)
1.34346816 × 10101
< 0.1%
1.3434768 × 10101
< 0.1%
1.34349408 × 10101
< 0.1%
1.34354592 × 10101
< 0.1%
1.34355456 × 10101
< 0.1%
ValueCountFrequency (%)
1.34837568 × 10101
< 0.1%
1.34802144 × 10101
< 0.1%
1.34797824 × 10101
< 0.1%
1.34784864 × 10101
< 0.1%
1.34761536 × 10101
< 0.1%

toflhadt02
Real number (ℝ≥0)

MISSING

Distinct101
Distinct (%)63.1%
Missing2636
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean1.34556039 × 1010
Minimum1.34359776 × 1010
Maximum1.34888544 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:50.591935image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.34359776 × 1010
5-th percentile1.343856096 × 1010
Q11.34433216 × 1010
median1.34520048 × 1010
Q31.3466304 × 1010
95-th percentile1.348655616 × 1010
Maximum1.34888544 × 1010
Range52876800
Interquartile range (IQR)22982400

Descriptive statistics

Standard deviation15276634
Coefficient of variation (CV)0.001135336185
Kurtosis-0.3218455385
Mean1.34556039 × 1010
Median Absolute Deviation (MAD)9676800
Skewness0.8524666564
Sum2.152896624 × 1012
Variance2.333755465 × 1014
MonotonicityNot monotonic
2022-09-20T22:40:50.735352image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.34433216 × 101010
 
0.4%
1.34888544 × 10108
 
0.3%
1.34404704 × 10105
 
0.2%
1.34862624 × 10104
 
0.1%
1.34863488 × 10104
 
0.1%
1.34523936 × 10103
 
0.1%
1.3450752 × 10103
 
0.1%
1.34525664 × 10103
 
0.1%
1.34488512 × 10103
 
0.1%
1.34397792 × 10102
 
0.1%
Other values (91)115
 
4.1%
(Missing)2636
94.3%
ValueCountFrequency (%)
1.34359776 × 10102
0.1%
1.34361504 × 10101
< 0.1%
1.34368416 × 10101
< 0.1%
1.34370144 × 10101
< 0.1%
1.34378784 × 10102
0.1%
ValueCountFrequency (%)
1.34888544 × 10108
0.3%
1.34864352 × 10101
 
< 0.1%
1.34863488 × 10104
0.1%
1.34862624 × 10104
0.1%
1.34803008 × 10101
 
< 0.1%

Exact_total
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)3.6%
Missing1580
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean36.5
Minimum0
Maximum75
Zeros35
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:50.867748image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q128
median37
Q346
95-th percentile58
Maximum75
Range75
Interquartile range (IQR)18

Descriptive statistics

Standard deviation13.15804531
Coefficient of variation (CV)0.3604943921
Kurtosis0.5198063089
Mean36.5
Median Absolute Deviation (MAD)9
Skewness-0.4213943219
Sum44384
Variance173.1341564
MonotonicityNot monotonic
2022-09-20T22:40:50.987247image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
3860
 
2.1%
3459
 
2.1%
3658
 
2.1%
3153
 
1.9%
3052
 
1.9%
2845
 
1.6%
4245
 
1.6%
4145
 
1.6%
3744
 
1.6%
4644
 
1.6%
Other values (34)711
25.4%
(Missing)1580
56.5%
ValueCountFrequency (%)
035
1.3%
814
 
0.5%
1323
0.8%
1730
1.1%
2036
1.3%
ValueCountFrequency (%)
751
 
< 0.1%
701
 
< 0.1%
686
0.2%
671
 
< 0.1%
651
 
< 0.1%

Breathlessness
Real number (ℝ≥0)

MISSING
ZEROS

Distinct17
Distinct (%)1.4%
Missing1580
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean36.35773026
Minimum0
Maximum87
Zeros142
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:51.104393image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median38
Q348
95-th percentile65
Maximum87
Range87
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.40665932
Coefficient of variation (CV)0.5337698249
Kurtosis-0.2162120243
Mean36.35773026
Median Absolute Deviation (MAD)10
Skewness-0.2197643019
Sum44211
Variance376.6184258
MonotonicityNot monotonic
2022-09-20T22:40:51.204797image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0142
 
5.1%
34132
 
4.7%
42113
 
4.0%
38111
 
4.0%
30110
 
3.9%
4882
 
2.9%
5281
 
2.9%
4578
 
2.8%
2571
 
2.5%
1957
 
2.0%
Other values (7)239
 
8.5%
(Missing)1580
56.5%
ValueCountFrequency (%)
0142
5.1%
1147
 
1.7%
1957
2.0%
2571
2.5%
30110
3.9%
ValueCountFrequency (%)
873
 
0.1%
7832
1.1%
7123
0.8%
6544
1.6%
6034
1.2%

Coughsputum
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)0.6%
Missing1579
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean30.82497946
Minimum0
Maximum86
Zeros149
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:51.304844image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median39
Q339
95-th percentile56
Maximum86
Range86
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.71813579
Coefficient of variation (CV)0.5747979757
Kurtosis-0.1262495419
Mean30.82497946
Median Absolute Deviation (MAD)14
Skewness0.07635854187
Sum37514
Variance313.932336
MonotonicityNot monotonic
2022-09-20T22:40:51.416689image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
39431
 
15.4%
25338
 
12.1%
0149
 
5.3%
56136
 
4.9%
13121
 
4.3%
7239
 
1.4%
863
 
0.1%
(Missing)1579
56.5%
ValueCountFrequency (%)
0149
 
5.3%
13121
 
4.3%
25338
12.1%
39431
15.4%
56136
 
4.9%
ValueCountFrequency (%)
863
 
0.1%
7239
 
1.4%
56136
 
4.9%
39431
15.4%
25338
12.1%

Chestsymptom
Real number (ℝ≥0)

MISSING
ZEROS

Distinct12
Distinct (%)1.0%
Missing1579
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean24.71240756
Minimum0
Maximum88
Zeros339
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:51.514390image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23
Q338
95-th percentile58
Maximum88
Range88
Interquartile range (IQR)38

Descriptive statistics

Standard deviation20.28638184
Coefficient of variation (CV)0.8208986436
Kurtosis-0.8455381567
Mean24.71240756
Median Absolute Deviation (MAD)22
Skewness0.3060001538
Sum30075
Variance411.5372884
MonotonicityNot monotonic
2022-09-20T22:40:51.880496image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0339
 
12.1%
31207
 
7.4%
12153
 
5.5%
23131
 
4.7%
38114
 
4.1%
45101
 
3.6%
5294
 
3.4%
5836
 
1.3%
7225
 
0.9%
6514
 
0.5%
Other values (2)3
 
0.1%
(Missing)1579
56.5%
ValueCountFrequency (%)
0339
12.1%
12153
5.5%
23131
 
4.7%
31207
7.4%
38114
 
4.1%
ValueCountFrequency (%)
881
 
< 0.1%
792
 
0.1%
7225
0.9%
6514
 
0.5%
5836
1.3%

dysp_theta
Real number (ℝ)

MISSING

Distinct236
Distinct (%)87.4%
Missing2526
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean0.2549333333
Minimum-2.14
Maximum2.465
Zeros0
Zeros (%)0.0%
Negative100
Negative (%)3.6%
Memory size22.0 KiB
2022-09-20T22:40:51.998060image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-2.14
5-th percentile-1.352
Q1-0.4515
median0.397
Q30.88475
95-th percentile1.71155
Maximum2.465
Range4.605
Interquartile range (IQR)1.33625

Descriptive statistics

Standard deviation0.9628574358
Coefficient of variation (CV)3.776898937
Kurtosis-0.2018735048
Mean0.2549333333
Median Absolute Deviation (MAD)0.661
Skewness-0.3173194675
Sum68.832
Variance0.9270944416
MonotonicityNot monotonic
2022-09-20T22:40:52.120575image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.146
 
0.2%
-1.3525
 
0.2%
1.7463
 
0.1%
-0.8683
 
0.1%
2.4653
 
0.1%
1.93
 
0.1%
1.233
 
0.1%
-0.4182
 
0.1%
0.2392
 
0.1%
0.5892
 
0.1%
Other values (226)238
 
8.5%
(Missing)2526
90.3%
ValueCountFrequency (%)
-2.146
0.2%
-1.9231
 
< 0.1%
-1.9131
 
< 0.1%
-1.7012
 
0.1%
-1.6551
 
< 0.1%
ValueCountFrequency (%)
2.4653
0.1%
2.1521
 
< 0.1%
2.1131
 
< 0.1%
1.9251
 
< 0.1%
1.93
0.1%

dysp_se
Real number (ℝ≥0)

MISSING

Distinct99
Distinct (%)36.7%
Missing2526
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean0.2294925926
Minimum0.174
Maximum0.514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:52.247895image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.174
5-th percentile0.179
Q10.19625
median0.213
Q30.24
95-th percentile0.35925
Maximum0.514
Range0.34
Interquartile range (IQR)0.04375

Descriptive statistics

Standard deviation0.05810641069
Coefficient of variation (CV)0.2531951469
Kurtosis6.630744106
Mean0.2294925926
Median Absolute Deviation (MAD)0.02
Skewness2.433129347
Sum61.963
Variance0.003376354964
MonotonicityNot monotonic
2022-09-20T22:40:52.374142image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2237
 
0.3%
0.2117
 
0.3%
0.1837
 
0.3%
0.2037
 
0.3%
0.2017
 
0.3%
0.2166
 
0.2%
0.1826
 
0.2%
0.1776
 
0.2%
0.2096
 
0.2%
0.4296
 
0.2%
Other values (89)205
 
7.3%
(Missing)2526
90.3%
ValueCountFrequency (%)
0.1742
 
0.1%
0.1751
 
< 0.1%
0.1761
 
< 0.1%
0.1776
0.2%
0.1781
 
< 0.1%
ValueCountFrequency (%)
0.5141
 
< 0.1%
0.5071
 
< 0.1%
0.4461
 
< 0.1%
0.4296
0.2%
0.4251
 
< 0.1%

dysp_tscore
Real number (ℝ≥0)

MISSING

Distinct169
Distinct (%)62.6%
Missing2526
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean52.55592593
Minimum28.6
Maximum74.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:52.502328image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum28.6
5-th percentile36.5
Q145.475
median53.95
Q358.875
95-th percentile67.11
Maximum74.7
Range46.1
Interquartile range (IQR)13.4

Descriptive statistics

Standard deviation9.631258264
Coefficient of variation (CV)0.1832573225
Kurtosis-0.202597411
Mean52.55592593
Median Absolute Deviation (MAD)6.6
Skewness-0.3158044728
Sum14190.1
Variance92.76113576
MonotonicityNot monotonic
2022-09-20T22:40:52.634142image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.66
 
0.2%
36.55
 
0.2%
56.25
 
0.2%
41.34
 
0.1%
58.84
 
0.1%
52.64
 
0.1%
74.73
 
0.1%
55.43
 
0.1%
64.23
 
0.1%
52.43
 
0.1%
Other values (159)230
 
8.2%
(Missing)2526
90.3%
ValueCountFrequency (%)
28.66
0.2%
30.81
 
< 0.1%
30.91
 
< 0.1%
332
 
0.1%
33.51
 
< 0.1%
ValueCountFrequency (%)
74.73
0.1%
71.51
 
< 0.1%
71.11
 
< 0.1%
69.31
 
< 0.1%
693
0.1%

fl_theta
Real number (ℝ)

MISSING

Distinct217
Distinct (%)85.4%
Missing2542
Missing (%)90.9%
Infinite0
Infinite (%)0.0%
Mean0.1196614173
Minimum-1.903
Maximum2.03
Zeros0
Zeros (%)0.0%
Negative103
Negative (%)3.7%
Memory size22.0 KiB
2022-09-20T22:40:52.769670image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1.903
5-th percentile-1.476
Q1-0.5515
median0.2495
Q30.77725
95-th percentile1.47005
Maximum2.03
Range3.933
Interquartile range (IQR)1.32875

Descriptive statistics

Standard deviation0.9235177738
Coefficient of variation (CV)7.717757273
Kurtosis-0.5761360992
Mean0.1196614173
Median Absolute Deviation (MAD)0.6835
Skewness-0.2521317621
Sum30.394
Variance0.8528850786
MonotonicityNot monotonic
2022-09-20T22:40:52.900594image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.9039
 
0.3%
-1.1696
 
0.2%
-1.4765
 
0.2%
0.0553
 
0.1%
-0.7383
 
0.1%
-0.9442
 
0.1%
-1.1162
 
0.1%
-1.1722
 
0.1%
-1.1512
 
0.1%
0.6032
 
0.1%
Other values (207)218
 
7.8%
(Missing)2542
90.9%
ValueCountFrequency (%)
-1.9039
0.3%
-1.7771
 
< 0.1%
-1.4765
0.2%
-1.4572
 
0.1%
-1.4271
 
< 0.1%
ValueCountFrequency (%)
2.031
< 0.1%
2.0071
< 0.1%
1.9891
< 0.1%
1.7921
< 0.1%
1.7881
< 0.1%

fl_se
Real number (ℝ≥0)

MISSING

Distinct105
Distinct (%)41.3%
Missing2542
Missing (%)90.9%
Infinite0
Infinite (%)0.0%
Mean0.2412519685
Minimum0.177
Maximum0.463
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:53.047044image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.177
5-th percentile0.188
Q10.204
median0.225
Q30.255
95-th percentile0.3385
Maximum0.463
Range0.286
Interquartile range (IQR)0.051

Descriptive statistics

Standard deviation0.05533555112
Coefficient of variation (CV)0.2293682885
Kurtosis3.153749875
Mean0.2412519685
Median Absolute Deviation (MAD)0.025
Skewness1.761577908
Sum61.278
Variance0.003062023217
MonotonicityNot monotonic
2022-09-20T22:40:53.189083image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4139
 
0.3%
0.2258
 
0.3%
0.2847
 
0.3%
0.1986
 
0.2%
0.3345
 
0.2%
0.2265
 
0.2%
0.2145
 
0.2%
0.2245
 
0.2%
0.1945
 
0.2%
0.1885
 
0.2%
Other values (95)194
 
6.9%
(Missing)2542
90.9%
ValueCountFrequency (%)
0.1771
< 0.1%
0.1781
< 0.1%
0.182
0.1%
0.1852
0.1%
0.1861
< 0.1%
ValueCountFrequency (%)
0.4631
 
< 0.1%
0.4571
 
< 0.1%
0.4139
0.3%
0.3731
 
< 0.1%
0.3451
 
< 0.1%

fl_tscore
Real number (ℝ≥0)

MISSING

Distinct154
Distinct (%)60.6%
Missing2542
Missing (%)90.9%
Infinite0
Infinite (%)0.0%
Mean51.2003937
Minimum31
Maximum70.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:53.319045image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile35.2
Q144.5
median52.5
Q357.775
95-th percentile64.705
Maximum70.3
Range39.3
Interquartile range (IQR)13.275

Descriptive statistics

Standard deviation9.237535125
Coefficient of variation (CV)0.1804192206
Kurtosis-0.5786454912
Mean51.2003937
Median Absolute Deviation (MAD)6.85
Skewness-0.2514889882
Sum13004.9
Variance85.33205518
MonotonicityNot monotonic
2022-09-20T22:40:53.450284image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
319
 
0.3%
38.38
 
0.3%
35.25
 
0.2%
53.64
 
0.1%
50.64
 
0.1%
59.34
 
0.1%
47.14
 
0.1%
564
 
0.1%
56.34
 
0.1%
424
 
0.1%
Other values (144)204
 
7.3%
(Missing)2542
90.9%
ValueCountFrequency (%)
319
0.3%
32.21
 
< 0.1%
35.25
0.2%
35.42
 
0.1%
35.71
 
< 0.1%
ValueCountFrequency (%)
70.31
< 0.1%
70.11
< 0.1%
69.91
< 0.1%
67.92
0.1%
67.81
< 0.1%

sleep7
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2472
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean0.8271604938
Minimum0
Maximum3
Zeros223
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:53.586290image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.276509593
Coefficient of variation (CV)1.543242941
Kurtosis-0.923988407
Mean0.8271604938
Median Absolute Deviation (MAD)0
Skewness0.9833363176
Sum268
Variance1.629476742
MonotonicityNot monotonic
2022-09-20T22:40:53.718452image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0223
 
8.0%
373
 
2.6%
221
 
0.8%
17
 
0.3%
(Missing)2472
88.4%
ValueCountFrequency (%)
0223
8.0%
17
 
0.3%
221
 
0.8%
373
 
2.6%
ValueCountFrequency (%)
373
 
2.6%
221
 
0.8%
17
 
0.3%
0223
8.0%

sleep6
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2470
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.196319018
Minimum0
Maximum3
Zeros66
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:54.103790image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8511270046
Coefficient of variation (CV)0.7114548807
Kurtosis-0.3812590927
Mean1.196319018
Median Absolute Deviation (MAD)1
Skewness0.3960303988
Sum390
Variance0.7244171779
MonotonicityNot monotonic
2022-09-20T22:40:54.197995image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1156
 
5.6%
278
 
2.8%
066
 
2.4%
326
 
0.9%
(Missing)2470
88.3%
ValueCountFrequency (%)
066
2.4%
1156
5.6%
278
2.8%
326
 
0.9%
ValueCountFrequency (%)
326
 
0.9%
278
2.8%
1156
5.6%
066
2.4%

psqidurat
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2470
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean0.8466257669
Minimum0
Maximum3
Zeros171
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:54.290634image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.052953777
Coefficient of variation (CV)1.243706273
Kurtosis-0.5174069061
Mean0.8466257669
Median Absolute Deviation (MAD)0
Skewness0.9148421102
Sum276
Variance1.108711656
MonotonicityNot monotonic
2022-09-20T22:40:54.376107image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0171
 
6.1%
172
 
2.6%
245
 
1.6%
338
 
1.4%
(Missing)2470
88.3%
ValueCountFrequency (%)
0171
6.1%
172
2.6%
245
 
1.6%
338
 
1.4%
ValueCountFrequency (%)
338
 
1.4%
245
 
1.6%
172
2.6%
0171
6.1%

psqidistb
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.3%
Missing2485
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean1.919614148
Minimum0
Maximum3
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:54.501594image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7513221759
Coefficient of variation (CV)0.3913922893
Kurtosis-0.9030696287
Mean1.919614148
Median Absolute Deviation (MAD)1
Skewness-0.00488565753
Sum597
Variance0.5644850119
MonotonicityNot monotonic
2022-09-20T22:40:54.639181image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2143
 
5.1%
192
 
3.3%
373
 
2.6%
03
 
0.1%
(Missing)2485
88.9%
ValueCountFrequency (%)
03
 
0.1%
192
3.3%
2143
5.1%
373
2.6%
ValueCountFrequency (%)
373
2.6%
2143
5.1%
192
3.3%
03
 
0.1%

psqilaten
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2470
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean1.309815951
Minimum0
Maximum3
Zeros94
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:54.767900image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.078044653
Coefficient of variation (CV)0.8230504844
Kurtosis-1.208042944
Mean1.309815951
Median Absolute Deviation (MAD)1
Skewness0.247708913
Sum427
Variance1.162180274
MonotonicityNot monotonic
2022-09-20T22:40:54.853317image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
197
 
3.5%
094
 
3.4%
275
 
2.7%
360
 
2.1%
(Missing)2470
88.3%
ValueCountFrequency (%)
094
3.4%
197
3.5%
275
2.7%
360
2.1%
ValueCountFrequency (%)
360
2.1%
275
2.7%
197
3.5%
094
3.4%

psqidaydys
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2473
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean1.055727554
Minimum0
Maximum3
Zeros105
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:54.947100image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9037480686
Coefficient of variation (CV)0.856042892
Kurtosis-0.8614718383
Mean1.055727554
Median Absolute Deviation (MAD)1
Skewness0.3470435325
Sum341
Variance0.8167605715
MonotonicityNot monotonic
2022-09-20T22:40:55.039116image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1113
 
4.0%
0105
 
3.8%
287
 
3.1%
318
 
0.6%
(Missing)2473
88.4%
ValueCountFrequency (%)
0105
3.8%
1113
4.0%
287
3.1%
318
 
0.6%
ValueCountFrequency (%)
318
 
0.6%
287
3.1%
1113
4.0%
0105
3.8%

psqihse
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)1.2%
Missing2473
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean0.919504644
Minimum0
Maximum3
Zeros171
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:55.128173image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.150083876
Coefficient of variation (CV)1.250764619
Kurtosis-0.8282710418
Mean0.919504644
Median Absolute Deviation (MAD)0
Skewness0.8484440596
Sum297
Variance1.322692922
MonotonicityNot monotonic
2022-09-20T22:40:55.213635image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0171
 
6.1%
163
 
2.3%
356
 
2.0%
233
 
1.2%
(Missing)2473
88.4%
ValueCountFrequency (%)
0171
6.1%
163
 
2.3%
233
 
1.2%
356
 
2.0%
ValueCountFrequency (%)
356
 
2.0%
233
 
1.2%
163
 
2.3%
0171
6.1%

psqi
Real number (ℝ≥0)

MISSING

Distinct20
Distinct (%)6.8%
Missing2501
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean8.13220339
Minimum0
Maximum19
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:55.367136image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8
Q312
95-th percentile16
Maximum19
Range19
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.553478176
Coefficient of variation (CV)0.5599316639
Kurtosis-0.8187285359
Mean8.13220339
Median Absolute Deviation (MAD)4
Skewness0.2577756469
Sum2399
Variance20.7341635
MonotonicityNot monotonic
2022-09-20T22:40:55.517160image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
929
 
1.0%
624
 
0.9%
524
 
0.9%
823
 
0.8%
1021
 
0.8%
1220
 
0.7%
219
 
0.7%
118
 
0.6%
1518
 
0.6%
417
 
0.6%
Other values (10)82
 
2.9%
(Missing)2501
89.4%
ValueCountFrequency (%)
01
 
< 0.1%
118
0.6%
219
0.7%
317
0.6%
417
0.6%
ValueCountFrequency (%)
191
 
< 0.1%
183
 
0.1%
178
0.3%
166
 
0.2%
1518
0.6%

psqi5
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.7%
Missing2501
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean0.3254237288
Minimum0
Maximum1
Zeros199
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:55.634258image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4693290986
Coefficient of variation (CV)1.442209209
Kurtosis-1.448841377
Mean0.3254237288
Median Absolute Deviation (MAD)0
Skewness0.7490177728
Sum96
Variance0.2202698028
MonotonicityNot monotonic
2022-09-20T22:40:55.727427image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0199
 
7.1%
196
 
3.4%
(Missing)2501
89.4%
ValueCountFrequency (%)
0199
7.1%
196
3.4%
ValueCountFrequency (%)
196
3.4%
0199
7.1%

sf_ang8
Real number (ℝ≥0)

MISSING

Distinct174
Distinct (%)51.8%
Missing2460
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean50.59136905
Minimum32.4
Maximum81.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:55.854753image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum32.4
5-th percentile35.775
Q143.1
median50.4
Q356.2
95-th percentile67.825
Maximum81.7
Range49.3
Interquartile range (IQR)13.1

Descriptive statistics

Standard deviation9.792053582
Coefficient of variation (CV)0.19355186
Kurtosis-0.1147610742
Mean50.59136905
Median Absolute Deviation (MAD)6.4
Skewness0.3508910165
Sum16998.7
Variance95.88431334
MonotonicityNot monotonic
2022-09-20T22:40:55.993336image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.417
 
0.6%
37.99
 
0.3%
43.18
 
0.3%
42.57
 
0.3%
46.26
 
0.2%
40.66
 
0.2%
50.95
 
0.2%
44.65
 
0.2%
49.45
 
0.2%
47.84
 
0.1%
Other values (164)264
 
9.4%
(Missing)2460
88.0%
ValueCountFrequency (%)
32.417
0.6%
36.91
 
< 0.1%
37.14
 
0.1%
37.73
 
0.1%
37.83
 
0.1%
ValueCountFrequency (%)
81.71
< 0.1%
78.21
< 0.1%
75.31
< 0.1%
74.81
< 0.1%
73.81
< 0.1%

nvalid_ang
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.9%
Missing2460
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean7.949404762
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:56.100891image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3711212577
Coefficient of variation (CV)0.04668541467
Kurtosis199.1129158
Mean7.949404762
Median Absolute Deviation (MAD)0
Skewness-12.92202602
Sum2671
Variance0.1377309879
MonotonicityNot monotonic
2022-09-20T22:40:56.192467image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
8324
 
11.6%
711
 
0.4%
21
 
< 0.1%
(Missing)2460
88.0%
ValueCountFrequency (%)
21
 
< 0.1%
711
 
0.4%
8324
11.6%
ValueCountFrequency (%)
8324
11.6%
711
 
0.4%
21
 
< 0.1%

sf_anx7
Real number (ℝ≥0)

MISSING

Distinct239
Distinct (%)15.9%
Missing1292
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean53.20944149
Minimum36.3
Maximum82.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:56.324209image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum36.3
5-th percentile36.3
Q147.1
median53
Q360.1
95-th percentile70.4
Maximum82.4
Range46.1
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.205948
Coefficient of variation (CV)0.1918070875
Kurtosis-0.5254631593
Mean53.20944149
Median Absolute Deviation (MAD)6.95
Skewness-0.04255927877
Sum80027
Variance104.1613745
MonotonicityNot monotonic
2022-09-20T22:40:56.456573image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.3229
 
8.2%
5360
 
2.1%
60.147
 
1.7%
61.545
 
1.6%
70.438
 
1.4%
5033
 
1.2%
51.524
 
0.9%
47.122
 
0.8%
58.820
 
0.7%
55.318
 
0.6%
Other values (229)968
34.6%
(Missing)1292
46.2%
ValueCountFrequency (%)
36.3229
8.2%
41.718
 
0.6%
42.17
 
0.3%
42.24
 
0.1%
42.35
 
0.2%
ValueCountFrequency (%)
82.41
< 0.1%
79.61
< 0.1%
79.52
0.1%
79.32
0.1%
77.61
< 0.1%

nvalid_anx
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.3%
Missing1292
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean6.981382979
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:56.852832image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1921249375
Coefficient of variation (CV)0.0275196101
Kurtosis335.9247592
Mean6.981382979
Median Absolute Deviation (MAD)0
Skewness-15.86631748
Sum10500
Variance0.03691199162
MonotonicityNot monotonic
2022-09-20T22:40:56.964386image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
71484
53.1%
615
 
0.5%
54
 
0.1%
21
 
< 0.1%
(Missing)1292
46.2%
ValueCountFrequency (%)
21
 
< 0.1%
54
 
0.1%
615
 
0.5%
71484
53.1%
ValueCountFrequency (%)
71484
53.1%
615
 
0.5%
54
 
0.1%
21
 
< 0.1%

sf_dep8
Real number (ℝ≥0)

MISSING

Distinct197
Distinct (%)28.9%
Missing2115
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean52.89911894
Minimum37.1
Maximum80.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:57.095147image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum37.1
5-th percentile37.1
Q147.3
median53.6
Q358.8
95-th percentile68.4
Maximum80.9
Range43.8
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation9.261577768
Coefficient of variation (CV)0.1750800004
Kurtosis-0.4584112352
Mean52.89911894
Median Absolute Deviation (MAD)5.7
Skewness-0.06999858961
Sum36024.3
Variance85.77682275
MonotonicityNot monotonic
2022-09-20T22:40:57.224310image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.194
 
3.4%
48.423
 
0.8%
54.717
 
0.6%
43.312
 
0.4%
43.111
 
0.4%
50.110
 
0.4%
47.310
 
0.4%
57.99
 
0.3%
43.99
 
0.3%
59.78
 
0.3%
Other values (187)478
 
17.1%
(Missing)2115
75.6%
ValueCountFrequency (%)
37.194
3.4%
37.21
 
< 0.1%
37.31
 
< 0.1%
43.111
 
0.4%
43.312
 
0.4%
ValueCountFrequency (%)
80.91
< 0.1%
76.21
< 0.1%
76.11
< 0.1%
74.61
< 0.1%
73.61
< 0.1%

nvalid_dep
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.6%
Missing2115
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean7.970631424
Minimum5
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:57.327576image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q18
median8
Q38
95-th percentile8
Maximum8
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2149303187
Coefficient of variation (CV)0.02696528132
Kurtosis89.37017491
Mean7.970631424
Median Absolute Deviation (MAD)0
Skewness-8.79646078
Sum5428
Variance0.04619504189
MonotonicityNot monotonic
2022-09-20T22:40:57.415213image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8666
 
23.8%
711
 
0.4%
63
 
0.1%
51
 
< 0.1%
(Missing)2115
75.6%
ValueCountFrequency (%)
51
 
< 0.1%
63
 
0.1%
711
 
0.4%
8666
23.8%
ValueCountFrequency (%)
8666
23.8%
711
 
0.4%
63
 
0.1%
51
 
< 0.1%

sf_fatig7
Real number (ℝ≥0)

MISSING

Distinct336
Distinct (%)22.2%
Missing1285
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean56.71125083
Minimum29.4
Maximum82.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:57.543308image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum29.4
5-th percentile40
Q150.9
median57
Q363.2
95-th percentile72.1
Maximum82.7
Range53.3
Interquartile range (IQR)12.3

Descriptive statistics

Standard deviation9.412772383
Coefficient of variation (CV)0.1659771605
Kurtosis0.02799148178
Mean56.71125083
Median Absolute Deviation (MAD)6.1
Skewness-0.2430050217
Sum85690.7
Variance88.60028393
MonotonicityNot monotonic
2022-09-20T22:40:57.684921image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.518
 
0.6%
64.318
 
0.6%
5818
 
0.6%
57.216
 
0.6%
67.216
 
0.6%
5615
 
0.5%
54.814
 
0.5%
55.614
 
0.5%
61.814
 
0.5%
60.813
 
0.5%
Other values (326)1355
48.5%
(Missing)1285
46.0%
ValueCountFrequency (%)
29.46
0.2%
31.76
0.2%
33.21
 
< 0.1%
33.87
0.3%
3412
0.4%
ValueCountFrequency (%)
82.71
 
< 0.1%
814
0.1%
80.31
 
< 0.1%
79.11
 
< 0.1%
78.73
0.1%

nvalid_fatig
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.2%
Missing1285
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean6.980807412
Minimum5
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:57.805197image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.159559441
Coefficient of variation (CV)0.02285687479
Kurtosis93.98881648
Mean6.980807412
Median Absolute Deviation (MAD)0
Skewness-9.268175846
Sum10548
Variance0.0254592152
MonotonicityNot monotonic
2022-09-20T22:40:57.922659image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
71487
53.2%
619
 
0.7%
55
 
0.2%
(Missing)1285
46.0%
ValueCountFrequency (%)
55
 
0.2%
619
 
0.7%
71487
53.2%
ValueCountFrequency (%)
71487
53.2%
619
 
0.7%
55
 
0.2%

sf_painbe7
Real number (ℝ≥0)

MISSING

Distinct141
Distinct (%)42.0%
Missing2460
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean53.65922619
Minimum34.1
Maximum75.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:58.070192image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum34.1
5-th percentile34.1
Q150.8
median57.05
Q361.1
95-th percentile66.05
Maximum75.4
Range41.3
Interquartile range (IQR)10.3

Descriptive statistics

Standard deviation10.89155381
Coefficient of variation (CV)0.2029763488
Kurtosis-0.5580037699
Mean53.65922619
Median Absolute Deviation (MAD)5
Skewness-0.8358884568
Sum18029.5
Variance118.6259445
MonotonicityNot monotonic
2022-09-20T22:40:58.207722image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.161
 
2.2%
576
 
0.2%
60.86
 
0.2%
62.15
 
0.2%
59.15
 
0.2%
52.65
 
0.2%
62.54
 
0.1%
59.94
 
0.1%
58.94
 
0.1%
52.84
 
0.1%
Other values (131)232
 
8.3%
(Missing)2460
88.0%
ValueCountFrequency (%)
34.161
2.2%
34.41
 
< 0.1%
34.51
 
< 0.1%
35.71
 
< 0.1%
39.42
 
0.1%
ValueCountFrequency (%)
75.41
< 0.1%
72.41
< 0.1%
71.51
< 0.1%
70.81
< 0.1%
70.11
< 0.1%

nvalid_painbe
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.2%
Missing2460
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean6.928571429
Minimum4
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:58.315432image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3552830038
Coefficient of variation (CV)0.05127795931
Kurtosis37.00723262
Mean6.928571429
Median Absolute Deviation (MAD)0
Skewness-5.813345209
Sum2328
Variance0.1262260128
MonotonicityNot monotonic
2022-09-20T22:40:58.406793image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
7320
 
11.4%
610
 
0.4%
54
 
0.1%
42
 
0.1%
(Missing)2460
88.0%
ValueCountFrequency (%)
42
 
0.1%
54
 
0.1%
610
 
0.4%
7320
11.4%
ValueCountFrequency (%)
7320
11.4%
610
 
0.4%
54
 
0.1%
42
 
0.1%

sf_painin6
Real number (ℝ≥0)

MISSING

Distinct138
Distinct (%)41.1%
Missing2460
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean57.38511905
Minimum41
Maximum78.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:58.542652image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile41
Q151.25
median58.65
Q365.225
95-th percentile72
Maximum78.2
Range37.2
Interquartile range (IQR)13.975

Descriptive statistics

Standard deviation9.969329922
Coefficient of variation (CV)0.1737267446
Kurtosis-0.8373232006
Mean57.38511905
Median Absolute Deviation (MAD)7.05
Skewness-0.3610810707
Sum19281.4
Variance99.38753909
MonotonicityNot monotonic
2022-09-20T22:40:58.677255image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4161
 
2.2%
56.113
 
0.5%
65.79
 
0.3%
67.25
 
0.2%
67.65
 
0.2%
72.75
 
0.2%
52.95
 
0.2%
56.85
 
0.2%
61.25
 
0.2%
59.45
 
0.2%
Other values (128)218
 
7.8%
(Missing)2460
88.0%
ValueCountFrequency (%)
4161
2.2%
41.11
 
< 0.1%
41.21
 
< 0.1%
41.31
 
< 0.1%
47.61
 
< 0.1%
ValueCountFrequency (%)
78.22
0.1%
752
0.1%
74.21
< 0.1%
74.11
< 0.1%
73.31
< 0.1%

nvalid_painin
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)1.2%
Missing2460
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean5.925595238
Minimum3
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:58.839789image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q16
median6
Q36
95-th percentile6
Maximum6
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3504363206
Coefficient of variation (CV)0.05913942929
Kurtosis36.73376291
Mean5.925595238
Median Absolute Deviation (MAD)0
Skewness-5.699396818
Sum1991
Variance0.1228056148
MonotonicityNot monotonic
2022-09-20T22:40:58.951933image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
6318
 
11.4%
513
 
0.5%
43
 
0.1%
32
 
0.1%
(Missing)2460
88.0%
ValueCountFrequency (%)
32
 
0.1%
43
 
0.1%
513
 
0.5%
6318
11.4%
ValueCountFrequency (%)
6318
11.4%
513
 
0.5%
43
 
0.1%
32
 
0.1%

sf_phy10
Real number (ℝ≥0)

MISSING

Distinct271
Distinct (%)17.9%
Missing1279
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean36.23757416
Minimum14.8
Maximum61.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:59.090499image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum14.8
5-th percentile26.18
Q131.6
median35.8
Q340.1
95-th percentile47.9
Maximum61.7
Range46.9
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation6.756947869
Coefficient of variation (CV)0.1864624779
Kurtosis0.812508184
Mean36.23757416
Median Absolute Deviation (MAD)4.2
Skewness0.455991569
Sum54972.4
Variance45.65634451
MonotonicityNot monotonic
2022-09-20T22:40:59.650205image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3023
 
0.8%
33.819
 
0.7%
30.518
 
0.6%
38.417
 
0.6%
29.417
 
0.6%
36.417
 
0.6%
37.716
 
0.6%
36.315
 
0.5%
33.915
 
0.5%
37.115
 
0.5%
Other values (261)1345
48.1%
(Missing)1279
45.7%
ValueCountFrequency (%)
14.82
0.1%
16.81
< 0.1%
18.82
0.1%
201
< 0.1%
20.11
< 0.1%
ValueCountFrequency (%)
61.77
0.3%
55.611
0.4%
53.511
0.4%
52.61
 
< 0.1%
52.23
 
0.1%

nvalid_phy
Real number (ℝ≥0)

MISSING
SKEWED

Distinct5
Distinct (%)0.3%
Missing1279
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean9.971654581
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:59.767234image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3014708304
Coefficient of variation (CV)0.03023277912
Kurtosis569.6185031
Mean9.971654581
Median Absolute Deviation (MAD)0
Skewness-21.29222456
Sum15127
Variance0.09088466161
MonotonicityNot monotonic
2022-09-20T22:40:59.852822image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
101488
53.2%
925
 
0.9%
82
 
0.1%
51
 
< 0.1%
11
 
< 0.1%
(Missing)1279
45.7%
ValueCountFrequency (%)
11
 
< 0.1%
51
 
< 0.1%
82
 
0.1%
925
 
0.9%
101488
53.2%
ValueCountFrequency (%)
101488
53.2%
925
 
0.9%
82
 
0.1%
51
 
< 0.1%
11
 
< 0.1%

sf_dsa7
Real number (ℝ≥0)

MISSING

Distinct208
Distinct (%)29.6%
Missing2093
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean44.1428165
Minimum28.7
Maximum67.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:40:59.967268image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum28.7
5-th percentile32.1
Q139.1
median44
Q347.9
95-th percentile57.2
Maximum67.3
Range38.6
Interquartile range (IQR)8.8

Descriptive statistics

Standard deviation7.715733105
Coefficient of variation (CV)0.1747902313
Kurtosis0.5354351388
Mean44.1428165
Median Absolute Deviation (MAD)4.3
Skewness0.4031431701
Sum31032.4
Variance59.53253736
MonotonicityNot monotonic
2022-09-20T22:41:00.108109image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.928
 
1.0%
47.327
 
1.0%
28.726
 
0.9%
32.121
 
0.8%
41.516
 
0.6%
32.914
 
0.5%
54.214
 
0.5%
67.314
 
0.5%
4113
 
0.5%
43.811
 
0.4%
Other values (198)519
 
18.6%
(Missing)2093
74.9%
ValueCountFrequency (%)
28.726
0.9%
32.121
0.8%
32.914
0.5%
33.14
 
0.1%
33.24
 
0.1%
ValueCountFrequency (%)
67.314
0.5%
63.11
 
< 0.1%
62.11
 
< 0.1%
621
 
< 0.1%
61.73
 
0.1%

nvalid_dsa
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.7%
Missing2093
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean6.958748222
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:41:00.233824image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3286068721
Coefficient of variation (CV)0.0472221241
Kurtosis189.3860785
Mean6.958748222
Median Absolute Deviation (MAD)0
Skewness-12.38264982
Sum4892
Variance0.1079824764
MonotonicityNot monotonic
2022-09-20T22:41:00.365597image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7685
 
24.5%
613
 
0.5%
53
 
0.1%
31
 
< 0.1%
11
 
< 0.1%
(Missing)2093
74.9%
ValueCountFrequency (%)
11
 
< 0.1%
31
 
< 0.1%
53
 
0.1%
613
 
0.5%
7685
24.5%
ValueCountFrequency (%)
7685
24.5%
613
 
0.5%
53
 
0.1%
31
 
< 0.1%
11
 
< 0.1%

sf_sr7
Real number (ℝ≥0)

MISSING

Distinct225
Distinct (%)32.0%
Missing2092
Missing (%)74.8%
Infinite0
Infinite (%)0.0%
Mean42.0875
Minimum27.1
Maximum65.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:41:00.498125image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum27.1
5-th percentile27.1
Q136.975
median42
Q346.525
95-th percentile56.57
Maximum65.6
Range38.5
Interquartile range (IQR)9.55

Descriptive statistics

Standard deviation8.034106705
Coefficient of variation (CV)0.1908905662
Kurtosis0.1297412281
Mean42.0875
Median Absolute Deviation (MAD)4.7
Skewness0.318953907
Sum29629.6
Variance64.54687055
MonotonicityNot monotonic
2022-09-20T22:41:00.670883image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.141
 
1.5%
44.340
 
1.4%
51.519
 
0.7%
38.318
 
0.6%
30.512
 
0.4%
45.611
 
0.4%
33.710
 
0.4%
40.310
 
0.4%
43.49
 
0.3%
459
 
0.3%
Other values (215)525
 
18.8%
(Missing)2092
74.8%
ValueCountFrequency (%)
27.141
1.5%
27.41
 
< 0.1%
28.21
 
< 0.1%
30.512
 
0.4%
30.66
 
0.2%
ValueCountFrequency (%)
65.68
0.3%
65.21
 
< 0.1%
60.91
 
< 0.1%
60.82
 
0.1%
60.62
 
0.1%

nvalid_sr
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)0.6%
Missing2092
Missing (%)74.8%
Infinite0
Infinite (%)0.0%
Mean6.973011364
Minimum4
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:41:00.795625image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.221488614
Coefficient of variation (CV)0.03176369612
Kurtosis113.0092826
Mean6.973011364
Median Absolute Deviation (MAD)0
Skewness-10.00336346
Sum4909
Variance0.04905720613
MonotonicityNot monotonic
2022-09-20T22:41:00.912882image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
7691
 
24.7%
69
 
0.3%
52
 
0.1%
42
 
0.1%
(Missing)2092
74.8%
ValueCountFrequency (%)
42
 
0.1%
52
 
0.1%
69
 
0.3%
7691
24.7%
ValueCountFrequency (%)
7691
24.7%
69
 
0.3%
52
 
0.1%
42
 
0.1%

nvalid_ph
Real number (ℝ≥0)

MISSING

Distinct2
Distinct (%)0.6%
Missing2460
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean3.967261905
Minimum3
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:41:01.053662image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum4
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1782157082
Coefficient of variation (CV)0.04492158887
Kurtosis25.9821362
Mean3.967261905
Median Absolute Deviation (MAD)0
Skewness-5.275178994
Sum1333
Variance0.03176083866
MonotonicityNot monotonic
2022-09-20T22:41:01.156949image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
4325
 
11.6%
311
 
0.4%
(Missing)2460
88.0%
ValueCountFrequency (%)
311
 
0.4%
4325
11.6%
ValueCountFrequency (%)
4325
11.6%
311
 
0.4%

ph_t
Real number (ℝ≥0)

MISSING

Distinct109
Distinct (%)32.4%
Missing2460
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean38.36607143
Minimum19.9
Maximum67.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:41:01.282822image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum19.9
5-th percentile26.5
Q132.7
median37.5
Q342.1
95-th percentile54.475
Maximum67.7
Range47.8
Interquartile range (IQR)9.4

Descriptive statistics

Standard deviation8.278801055
Coefficient of variation (CV)0.2157844352
Kurtosis0.4204484531
Mean38.36607143
Median Absolute Deviation (MAD)4.7
Skewness0.6064452625
Sum12891
Variance68.53854691
MonotonicityNot monotonic
2022-09-20T22:41:01.422705image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.519
 
0.7%
36.917
 
0.6%
34.215
 
0.5%
38.611
 
0.4%
46.310
 
0.4%
36.59
 
0.3%
42.18
 
0.3%
57.68
 
0.3%
37.37
 
0.3%
35.27
 
0.3%
Other values (99)225
 
8.0%
(Missing)2460
88.0%
ValueCountFrequency (%)
19.91
 
< 0.1%
22.52
0.1%
22.61
 
< 0.1%
24.11
 
< 0.1%
24.53
0.1%
ValueCountFrequency (%)
67.71
 
< 0.1%
62.21
 
< 0.1%
61.62
 
0.1%
57.68
0.3%
57.43
 
0.1%

nvalid_mh
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.9%
Missing2460
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean3.955357143
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:41:01.533927image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.220787986
Coefficient of variation (CV)0.05581998743
Kurtosis29.51968123
Mean3.955357143
Median Absolute Deviation (MAD)0
Skewness-5.240669076
Sum1329
Variance0.04874733475
MonotonicityNot monotonic
2022-09-20T22:41:01.622082image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
4322
 
11.5%
313
 
0.5%
21
 
< 0.1%
(Missing)2460
88.0%
ValueCountFrequency (%)
21
 
< 0.1%
313
 
0.5%
4322
11.5%
ValueCountFrequency (%)
4322
11.5%
313
 
0.5%
21
 
< 0.1%

mh_t
Real number (ℝ≥0)

MISSING

Distinct120
Distinct (%)35.7%
Missing2460
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean44.16934524
Minimum21.3
Maximum67.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:41:01.764685image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum21.3
5-th percentile28.725
Q138.6
median43.4
Q350.9
95-th percentile58.7
Maximum67.6
Range46.3
Interquartile range (IQR)12.3

Descriptive statistics

Standard deviation9.318499376
Coefficient of variation (CV)0.2109720967
Kurtosis-0.08343134045
Mean44.16934524
Median Absolute Deviation (MAD)6.2
Skewness0.02351693256
Sum14840.9
Variance86.83443061
MonotonicityNot monotonic
2022-09-20T22:41:01.966185image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.916
 
0.6%
44.810
 
0.4%
43.18
 
0.3%
48.28
 
0.3%
50.98
 
0.3%
28.87
 
0.3%
53.17
 
0.3%
33.97
 
0.3%
56.87
 
0.3%
36.77
 
0.3%
Other values (110)251
 
9.0%
(Missing)2460
88.0%
ValueCountFrequency (%)
21.34
0.1%
24.13
0.1%
252
0.1%
261
 
< 0.1%
26.11
 
< 0.1%
ValueCountFrequency (%)
67.66
0.2%
62.75
0.2%
61.81
 
< 0.1%
60.91
 
< 0.1%
60.61
 
< 0.1%

sgrq_sx_r
Real number (ℝ≥0)

MISSING

Distinct302
Distinct (%)90.4%
Missing2462
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean60.1734075
Minimum0
Maximum100
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:41:02.550032image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.03439246
Q145.39106145
median62.10566038
Q378.13207547
95-th percentile92.7954717
Maximum100
Range100
Interquartile range (IQR)32.74101402

Descriptive statistics

Standard deviation22.253348
Coefficient of variation (CV)0.3698203064
Kurtosis-0.4641029255
Mean60.1734075
Median Absolute Deviation (MAD)16.21877438
Skewness-0.3948231444
Sum20097.91811
Variance495.2114972
MonotonicityNot monotonic
2022-09-20T22:41:02.699146image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1004
 
0.1%
95.033962264
 
0.1%
42.650139663
 
0.1%
80.241509433
 
0.1%
64.030188682
 
0.1%
60.633962262
 
0.1%
67.803773582
 
0.1%
45.391061452
 
0.1%
78.626415092
 
0.1%
83.426415092
 
0.1%
Other values (292)308
 
11.0%
(Missing)2462
88.1%
ValueCountFrequency (%)
02
0.1%
5.1152234641
< 0.1%
7.6291899441
< 0.1%
10.317737432
0.1%
10.649441341
< 0.1%
ValueCountFrequency (%)
1001
 
< 0.1%
1004
0.1%
97.705660381
 
< 0.1%
97.479245282
0.1%
97.464150941
 
< 0.1%

sgrq_act_r
Real number (ℝ≥0)

MISSING

Distinct149
Distinct (%)44.9%
Missing2464
Missing (%)88.1%
Infinite0
Infinite (%)0.0%
Mean71.02835369
Minimum0
Maximum100
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:41:02.879075image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.13762622
Q159.45744769
median74.14605905
Q386.79182863
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)27.33438094

Descriptive statistics

Standard deviation21.33075735
Coefficient of variation (CV)0.3003132727
Kurtosis-0.04427443726
Mean71.02835369
Median Absolute Deviation (MAD)14.00628567
Skewness-0.7492627514
Sum23581.41343
Variance455.0012091
MonotonicityNot monotonic
2022-09-20T22:41:03.041617image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.5068232634
 
1.2%
10023
 
0.8%
66.189727917
 
0.6%
85.8076255116
 
0.6%
79.6708295411
 
0.4%
85.873790429
 
0.3%
87.164006298
 
0.3%
73.037796718
 
0.3%
93.300802257
 
0.3%
35.472665626
 
0.2%
Other values (139)193
 
6.9%
(Missing)2464
88.1%
ValueCountFrequency (%)
01
< 0.1%
5.9631130591
< 0.1%
11.214953271
< 0.1%
13.675213681
< 0.1%
17.120172031
< 0.1%
ValueCountFrequency (%)
1003
 
0.1%
10023
0.8%
94.06996941
 
< 0.1%
94.036886941
 
< 0.1%
93.300802257
 
0.3%

sgrq_imp_r
Real number (ℝ≥0)

MISSING

Distinct326
Distinct (%)98.5%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean44.21981373
Minimum0
Maximum97.42185287
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:41:03.187677image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.60298423
Q127.1342903
median45.0365319
Q359.20530739
95-th percentile76.95822971
Maximum97.42185287
Range97.42185287
Interquartile range (IQR)32.07101709

Descriptive statistics

Standard deviation20.99976781
Coefficient of variation (CV)0.4748949856
Kurtosis-0.7931919833
Mean44.21981373
Median Absolute Deviation (MAD)16.49276007
Skewness-5.863424768 × 10-5
Sum14636.75835
Variance440.9902479
MonotonicityNot monotonic
2022-09-20T22:41:03.331668image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.6337708942
 
0.1%
6.6767400132
 
0.1%
45.183681182
 
0.1%
7.5833412032
 
0.1%
10.562848242
 
0.1%
54.66994051
 
< 0.1%
35.598262351
 
< 0.1%
42.478043251
 
< 0.1%
49.419208611
 
< 0.1%
18.670318251
 
< 0.1%
Other values (316)316
 
11.3%
(Missing)2465
88.2%
ValueCountFrequency (%)
01
< 0.1%
1.6337708942
0.1%
1.7449190581
< 0.1%
4.693549911
< 0.1%
4.8731020121
< 0.1%
ValueCountFrequency (%)
97.421852871
< 0.1%
91.349513651
< 0.1%
88.204740771
< 0.1%
88.152800081
< 0.1%
86.940069541
< 0.1%

sgrq_tot_r
Real number (ℝ≥0)

MISSING

Distinct330
Distinct (%)99.7%
Missing2465
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean54.98840179
Minimum1.564222889
Maximum98.21025718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2022-09-20T22:41:03.482982image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.564222889
5-th percentile21.54144844
Q141.24354225
median57.06121221
Q370.02816001
95-th percentile82.85652551
Maximum98.21025718
Range96.64603429
Interquartile range (IQR)28.78461776

Descriptive statistics

Standard deviation19.29967031
Coefficient of variation (CV)0.3509771093
Kurtosis-0.6056543297
Mean54.98840179
Median Absolute Deviation (MAD)14.01213215
Skewness-0.3405422446
Sum18201.16099
Variance372.477274
MonotonicityNot monotonic
2022-09-20T22:41:03.633463image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56.657642752
 
0.1%
74.328174331
 
< 0.1%
59.853612071
 
< 0.1%
66.185391291
 
< 0.1%
20.342590461
 
< 0.1%
32.633279481
 
< 0.1%
53.5323231
 
< 0.1%
80.058335891
 
< 0.1%
71.336541841
 
< 0.1%
49.268042561
 
< 0.1%
Other values (320)320
 
11.4%
(Missing)2465
88.2%
ValueCountFrequency (%)
1.5642228891
< 0.1%
7.1569607921
< 0.1%
9.367844411
< 0.1%
12.026566151
< 0.1%
12.72918431
< 0.1%
ValueCountFrequency (%)
98.210257181
< 0.1%
92.236927861
< 0.1%
92.126635581
< 0.1%
89.020693981
< 0.1%
87.516919841
< 0.1%